MultilineerRegression.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BV-kl_kxCIvz"
      },
      "source": [
        "## Multiple Lineer Regression"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "P7QTVMTZCIa4"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "plt.rcParams[\"figure.figsize\"] = (10, 6)\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "IRxvEXBsB8fd"
      },
      "outputs": [],
      "source": [
        "import scipy.stats as stats"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rxU6FQICCDsR"
      },
      "source": [
        "y = b0 + b1*x1 + b2*x2 + b3*x3 + ......... multiple linear regression"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "ScaVxTJhC6X9"
      },
      "outputs": [],
      "source": [
        "df = pd.read_csv(\"Advertising.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "zFYL25B7DJUl",
        "outputId": "b87dc15b-16c6-4e10-a6d8-724450c4af34"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>TV</th>\n",
              "      <th>radio</th>\n",
              "      <th>newspaper</th>\n",
              "      <th>sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>230.1</td>\n",
              "      <td>37.8</td>\n",
              "      <td>69.2</td>\n",
              "      <td>22.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>44.5</td>\n",
              "      <td>39.3</td>\n",
              "      <td>45.1</td>\n",
              "      <td>10.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>17.2</td>\n",
              "      <td>45.9</td>\n",
              "      <td>69.3</td>\n",
              "      <td>9.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>151.5</td>\n",
              "      <td>41.3</td>\n",
              "      <td>58.5</td>\n",
              "      <td>18.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>180.8</td>\n",
              "      <td>10.8</td>\n",
              "      <td>58.4</td>\n",
              "      <td>12.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>195</th>\n",
              "      <td>38.2</td>\n",
              "      <td>3.7</td>\n",
              "      <td>13.8</td>\n",
              "      <td>7.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>196</th>\n",
              "      <td>94.2</td>\n",
              "      <td>4.9</td>\n",
              "      <td>8.1</td>\n",
              "      <td>9.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>197</th>\n",
              "      <td>177.0</td>\n",
              "      <td>9.3</td>\n",
              "      <td>6.4</td>\n",
              "      <td>12.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>198</th>\n",
              "      <td>283.6</td>\n",
              "      <td>42.0</td>\n",
              "      <td>66.2</td>\n",
              "      <td>25.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>199</th>\n",
              "      <td>232.1</td>\n",
              "      <td>8.6</td>\n",
              "      <td>8.7</td>\n",
              "      <td>13.4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>200 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        TV  radio  newspaper  sales\n",
              "0    230.1   37.8       69.2   22.1\n",
              "1     44.5   39.3       45.1   10.4\n",
              "2     17.2   45.9       69.3    9.3\n",
              "3    151.5   41.3       58.5   18.5\n",
              "4    180.8   10.8       58.4   12.9\n",
              "..     ...    ...        ...    ...\n",
              "195   38.2    3.7       13.8    7.6\n",
              "196   94.2    4.9        8.1    9.7\n",
              "197  177.0    9.3        6.4   12.8\n",
              "198  283.6   42.0       66.2   25.5\n",
              "199  232.1    8.6        8.7   13.4\n",
              "\n",
              "[200 rows x 4 columns]"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Qb-zxbiFDJ1K",
        "outputId": "cf895922-8378-43cd-ba59-eabe743cbb5a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(200, 4)"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iIlckXDZDLkx",
        "outputId": "8e5114df-cef2-476b-d23a-5b9b5887a7d5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 200 entries, 0 to 199\n",
            "Data columns (total 4 columns):\n",
            " #   Column     Non-Null Count  Dtype  \n",
            "---  ------     --------------  -----  \n",
            " 0   TV         200 non-null    float64\n",
            " 1   radio      200 non-null    float64\n",
            " 2   newspaper  200 non-null    float64\n",
            " 3   sales      200 non-null    float64\n",
            "dtypes: float64(4)\n",
            "memory usage: 6.4 KB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4yzBq_2YDM_h",
        "outputId": "80a32ece-2afb-48be-da2d-3f304b25750a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "TV           0\n",
              "radio        0\n",
              "newspaper    0\n",
              "sales        0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "paqLu6AMDQdA"
      },
      "outputs": [],
      "source": [
        "import missingno as msno"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 568
        },
        "id": "xN4xrjOpDhgA",
        "outputId": "f9faeef4-afdd-41f1-8f89-6259ddef3b1d"
      },
      "outputs": [
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 1800x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "msno.matrix(df);\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "UyQ1jw5TDmNA",
        "outputId": "edeb3dde-a428-4f0f-d6c2-43813cc5e2ac"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>TV</th>\n",
              "      <th>radio</th>\n",
              "      <th>newspaper</th>\n",
              "      <th>sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>175</th>\n",
              "      <td>276.9</td>\n",
              "      <td>48.9</td>\n",
              "      <td>41.8</td>\n",
              "      <td>27.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>183</th>\n",
              "      <td>287.6</td>\n",
              "      <td>43.0</td>\n",
              "      <td>71.8</td>\n",
              "      <td>26.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>198</th>\n",
              "      <td>283.6</td>\n",
              "      <td>42.0</td>\n",
              "      <td>66.2</td>\n",
              "      <td>25.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>289.7</td>\n",
              "      <td>42.3</td>\n",
              "      <td>51.2</td>\n",
              "      <td>25.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>243.2</td>\n",
              "      <td>49.0</td>\n",
              "      <td>44.3</td>\n",
              "      <td>25.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108</th>\n",
              "      <td>13.1</td>\n",
              "      <td>0.4</td>\n",
              "      <td>25.6</td>\n",
              "      <td>5.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>5.4</td>\n",
              "      <td>29.9</td>\n",
              "      <td>9.4</td>\n",
              "      <td>5.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>8.6</td>\n",
              "      <td>2.1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>4.1</td>\n",
              "      <td>11.6</td>\n",
              "      <td>5.7</td>\n",
              "      <td>3.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>130</th>\n",
              "      <td>0.7</td>\n",
              "      <td>39.6</td>\n",
              "      <td>8.7</td>\n",
              "      <td>1.6</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>200 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        TV  radio  newspaper  sales\n",
              "175  276.9   48.9       41.8   27.0\n",
              "183  287.6   43.0       71.8   26.2\n",
              "198  283.6   42.0       66.2   25.5\n",
              "98   289.7   42.3       51.2   25.4\n",
              "147  243.2   49.0       44.3   25.4\n",
              "..     ...    ...        ...    ...\n",
              "108   13.1    0.4       25.6    5.3\n",
              "78     5.4   29.9        9.4    5.3\n",
              "8      8.6    2.1        1.0    4.8\n",
              "155    4.1   11.6        5.7    3.2\n",
              "130    0.7   39.6        8.7    1.6\n",
              "\n",
              "[200 rows x 4 columns]"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.sort_values(by=\"sales\", ascending=False)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "E_QAoEq-D-Fb",
        "outputId": "6efa123f-72ca-495c-fdd4-a567e77e342e"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>TV</th>\n",
              "      <td>200.0</td>\n",
              "      <td>147.0425</td>\n",
              "      <td>85.854236</td>\n",
              "      <td>0.7</td>\n",
              "      <td>74.375</td>\n",
              "      <td>149.75</td>\n",
              "      <td>218.825</td>\n",
              "      <td>296.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>radio</th>\n",
              "      <td>200.0</td>\n",
              "      <td>23.2640</td>\n",
              "      <td>14.846809</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.975</td>\n",
              "      <td>22.90</td>\n",
              "      <td>36.525</td>\n",
              "      <td>49.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>newspaper</th>\n",
              "      <td>200.0</td>\n",
              "      <td>30.5540</td>\n",
              "      <td>21.778621</td>\n",
              "      <td>0.3</td>\n",
              "      <td>12.750</td>\n",
              "      <td>25.75</td>\n",
              "      <td>45.100</td>\n",
              "      <td>114.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sales</th>\n",
              "      <td>200.0</td>\n",
              "      <td>14.0225</td>\n",
              "      <td>5.217457</td>\n",
              "      <td>1.6</td>\n",
              "      <td>10.375</td>\n",
              "      <td>12.90</td>\n",
              "      <td>17.400</td>\n",
              "      <td>27.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           count      mean        std  min     25%     50%      75%    max\n",
              "TV         200.0  147.0425  85.854236  0.7  74.375  149.75  218.825  296.4\n",
              "radio      200.0   23.2640  14.846809  0.0   9.975   22.90   36.525   49.6\n",
              "newspaper  200.0   30.5540  21.778621  0.3  12.750   25.75   45.100  114.0\n",
              "sales      200.0   14.0225   5.217457  1.6  10.375   12.90   17.400   27.0"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.describe().T"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OHTfSI57EGV-",
        "outputId": "37d2dc0e-cc34-4dbe-edbc-7200fa4594a5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "111.25\n",
            "7.39509972887452\n"
          ]
        }
      ],
      "source": [
        "print(np.mean([100, 110, 120, 115]))\n",
        "print(np.std([100, 110, 120, 115]))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kMjF0cifEcSy",
        "outputId": "455f9b3f-0e7b-4fea-f755-36dc2fed7e6d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "257.5\n",
            "255.57533136044253\n"
          ]
        }
      ],
      "source": [
        "print(np.mean([100, 110, 120, 700]))\n",
        "print(np.std([100, 110, 120, 700]))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 726
        },
        "id": "o4ef-yuuEmYV",
        "outputId": "e18943d2-2a65-4210-a878-431221389b51"
      },
      "outputs": [
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 720x720 with 20 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.pairplot(df);"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 378
        },
        "id": "izLLn4MIFZEi",
        "outputId": "181edb96-64d6-4d75-a114-a848ddc7084c"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.heatmap(df.corr(), annot=True);"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "viVBEhcgFhs7"
      },
      "outputs": [],
      "source": [
        "from scipy.stats import skew"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "PiX5o_P_FmO5",
        "outputId": "b5aed544-2487-454b-b575-d6d7e7f378dc"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "for j in df.drop(columns = \"sales\").columns:\n",
        "    g = sns.distplot(df[j], color= \"b\", label= \"Skewness : %.2f\"%(df[j].skew()))\n",
        "    g = g.legend(loc= \"best\")\n",
        "    plt.show()\n",
        "    "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 726
        },
        "id": "OHi4u20kJ1Eh",
        "outputId": "ff493346-2f98-41a5-9fee-8c741f45a095"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 720x720 with 20 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.pairplot(df);"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "buNDm0DcLHrn",
        "outputId": "0c73d1a3-9a63-4500-9664-54c0eed00c17"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>TV</th>\n",
              "      <th>radio</th>\n",
              "      <th>newspaper</th>\n",
              "      <th>sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>TV</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.054809</td>\n",
              "      <td>0.056648</td>\n",
              "      <td>0.782224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>radio</th>\n",
              "      <td>0.054809</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.354104</td>\n",
              "      <td>0.576223</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>newspaper</th>\n",
              "      <td>0.056648</td>\n",
              "      <td>0.354104</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.228299</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sales</th>\n",
              "      <td>0.782224</td>\n",
              "      <td>0.576223</td>\n",
              "      <td>0.228299</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 TV     radio  newspaper     sales\n",
              "TV         1.000000  0.054809   0.056648  0.782224\n",
              "radio      0.054809  1.000000   0.354104  0.576223\n",
              "newspaper  0.056648  0.354104   1.000000  0.228299\n",
              "sales      0.782224  0.576223   0.228299  1.000000"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.corr()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 378
        },
        "id": "Xd_a_PehLz5G",
        "outputId": "8ed87a76-2e4d-49e0-bf63-b8c568ddbbf4"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.heatmap(df.corr(), annot=True);"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WMuzQ5ZbMIQJ"
      },
      "source": [
        "## Train-Test Split"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T4zY5NzQOh1-",
        "outputId": "0765c70e-3477-41cc-bc40-72524403068d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "        TV  radio  newspaper\n",
            "0    230.1   37.8       69.2\n",
            "1     44.5   39.3       45.1\n",
            "2     17.2   45.9       69.3\n",
            "3    151.5   41.3       58.5\n",
            "4    180.8   10.8       58.4\n",
            "..     ...    ...        ...\n",
            "195   38.2    3.7       13.8\n",
            "196   94.2    4.9        8.1\n",
            "197  177.0    9.3        6.4\n",
            "198  283.6   42.0       66.2\n",
            "199  232.1    8.6        8.7\n",
            "\n",
            "[200 rows x 3 columns] 0      22.1\n",
            "1      10.4\n",
            "2       9.3\n",
            "3      18.5\n",
            "4      12.9\n",
            "       ... \n",
            "195     7.6\n",
            "196     9.7\n",
            "197    12.8\n",
            "198    25.5\n",
            "199    13.4\n",
            "Name: sales, Length: 200, dtype: float64\n"
          ]
        }
      ],
      "source": [
        "X = df.drop(columns=\"sales\")  # df[[\"TV\", \"radio\", \"newspaper\"]]\n",
        "y = df.sales\n",
        "print(X, y)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "k-Y3IUXVPBHl"
      },
      "outputs": [],
      "source": [
        "from sklearn.model_selection import train_test_split"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "3Vcg7x2ZPJza"
      },
      "outputs": [],
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size= 0.3, random_state= 42)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PKU99nyQRj9H"
      },
      "source": [
        "![image 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)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 520
        },
        "id": "EmMUXO0MPmlT",
        "outputId": "0f1f178c-e390-4ac1-9a5b-a48d0cf45a80"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>TV</th>\n",
              "      <th>radio</th>\n",
              "      <th>newspaper</th>\n",
              "      <th>sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>96.2</td>\n",
              "      <td>14.8</td>\n",
              "      <td>38.9</td>\n",
              "      <td>11.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108</th>\n",
              "      <td>13.1</td>\n",
              "      <td>0.4</td>\n",
              "      <td>25.6</td>\n",
              "      <td>5.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>135.2</td>\n",
              "      <td>41.7</td>\n",
              "      <td>45.9</td>\n",
              "      <td>17.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>139.5</td>\n",
              "      <td>2.1</td>\n",
              "      <td>26.6</td>\n",
              "      <td>10.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>193</th>\n",
              "      <td>166.8</td>\n",
              "      <td>42.0</td>\n",
              "      <td>3.6</td>\n",
              "      <td>19.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>261.3</td>\n",
              "      <td>42.7</td>\n",
              "      <td>54.7</td>\n",
              "      <td>24.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146</th>\n",
              "      <td>240.1</td>\n",
              "      <td>7.3</td>\n",
              "      <td>8.7</td>\n",
              "      <td>13.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>11.7</td>\n",
              "      <td>36.9</td>\n",
              "      <td>45.2</td>\n",
              "      <td>7.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>243.2</td>\n",
              "      <td>49.0</td>\n",
              "      <td>44.3</td>\n",
              "      <td>25.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>262.9</td>\n",
              "      <td>3.5</td>\n",
              "      <td>19.5</td>\n",
              "      <td>12.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>262.7</td>\n",
              "      <td>28.8</td>\n",
              "      <td>15.9</td>\n",
              "      <td>20.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>184</th>\n",
              "      <td>253.8</td>\n",
              "      <td>21.3</td>\n",
              "      <td>30.0</td>\n",
              "      <td>17.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>171</th>\n",
              "      <td>164.5</td>\n",
              "      <td>20.9</td>\n",
              "      <td>47.4</td>\n",
              "      <td>14.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>286.0</td>\n",
              "      <td>13.9</td>\n",
              "      <td>3.7</td>\n",
              "      <td>15.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>198.9</td>\n",
              "      <td>49.4</td>\n",
              "      <td>60.0</td>\n",
              "      <td>23.7</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        TV  radio  newspaper  sales\n",
              "144   96.2   14.8       38.9   11.4\n",
              "108   13.1    0.4       25.6    5.3\n",
              "99   135.2   41.7       45.9   17.2\n",
              "186  139.5    2.1       26.6   10.3\n",
              "193  166.8   42.0        3.6   19.6\n",
              "61   261.3   42.7       54.7   24.2\n",
              "146  240.1    7.3        8.7   13.2\n",
              "158   11.7   36.9       45.2    7.3\n",
              "147  243.2   49.0       44.3   25.4\n",
              "25   262.9    3.5       19.5   12.0\n",
              "54   262.7   28.8       15.9   20.2\n",
              "184  253.8   21.3       30.0   17.6\n",
              "171  164.5   20.9       47.4   14.5\n",
              "188  286.0   13.9        3.7   15.9\n",
              "55   198.9   49.4       60.0   23.7"
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.sample(15)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M-ripol3SKq3",
        "outputId": "c0774994-4ff4-4ef0-a473-6645f1451391"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "X Train features shape: (140, 3)\n",
            "y Train features shape: (140,)\n",
            "X Test features shape : (60, 3)\n",
            "Y Test features shape : (60,)\n"
          ]
        }
      ],
      "source": [
        "print(\"X Train features shape: {}\\ny Train features shape: {}\\nX Test features shape : {}\\nY Test features shape : {}\".format\n",
        "      (X_train.shape, y_train.shape, X_test.shape, y_test.shape))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "LWMl3LUDi_T-",
        "outputId": "d97eb934-21ae-43c2-f676-5677dc3aa227"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>TV</th>\n",
              "      <th>radio</th>\n",
              "      <th>newspaper</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>169</th>\n",
              "      <td>284.3</td>\n",
              "      <td>10.6</td>\n",
              "      <td>6.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>184.9</td>\n",
              "      <td>21.0</td>\n",
              "      <td>22.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>112.9</td>\n",
              "      <td>17.4</td>\n",
              "      <td>38.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>23.8</td>\n",
              "      <td>35.1</td>\n",
              "      <td>65.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>290.7</td>\n",
              "      <td>4.1</td>\n",
              "      <td>8.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>106</th>\n",
              "      <td>25.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>29.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>204.1</td>\n",
              "      <td>32.9</td>\n",
              "      <td>46.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>217.7</td>\n",
              "      <td>33.5</td>\n",
              "      <td>59.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>179</th>\n",
              "      <td>165.6</td>\n",
              "      <td>10.0</td>\n",
              "      <td>17.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102</th>\n",
              "      <td>280.2</td>\n",
              "      <td>10.1</td>\n",
              "      <td>21.4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>140 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        TV  radio  newspaper\n",
              "169  284.3   10.6        6.4\n",
              "97   184.9   21.0       22.0\n",
              "31   112.9   17.4       38.6\n",
              "12    23.8   35.1       65.9\n",
              "35   290.7    4.1        8.5\n",
              "..     ...    ...        ...\n",
              "106   25.0   11.0       29.7\n",
              "14   204.1   32.9       46.0\n",
              "92   217.7   33.5       59.0\n",
              "179  165.6   10.0       17.6\n",
              "102  280.2   10.1       21.4\n",
              "\n",
              "[140 rows x 3 columns]"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jNSdZjAijDTZ",
        "outputId": "17558c92-05c3-4eca-a466-894a941b0da4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "169    15.0\n",
              "97     15.5\n",
              "31     11.9\n",
              "12      9.2\n",
              "35     12.8\n",
              "       ... \n",
              "106     7.2\n",
              "14     19.0\n",
              "92     19.4\n",
              "179    12.6\n",
              "102    14.8\n",
              "Name: sales, Length: 140, dtype: float64"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "y_train"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "anZgK9BuOSda"
      },
      "source": [
        "## Model Fitting and Compare Actual and Predicted Labels"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "8hALq6N0L6RX"
      },
      "outputs": [],
      "source": [
        "from sklearn.linear_model import LinearRegression\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "Z4S_Zvsdj62i"
      },
      "outputs": [],
      "source": [
        "model = LinearRegression()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Dd1pbF9mkALW",
        "outputId": "f6cadb6d-cd86-4d99-e5ad-58a868ad2578"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
            ],
            "text/plain": [
              "LinearRegression()"
            ]
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.fit(X_train, y_train)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d-6MddMekNxn",
        "outputId": "52a8b5bf-7840-40c4-dd1b-ce90965bf451"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([16.5653963 , 21.18822792, 21.55107058, 10.88923816, 22.20231988,\n",
              "       13.35556872, 21.19692502,  7.35028523, 13.27547079, 15.12449511,\n",
              "        9.01443026,  6.52542825, 14.30205991,  8.97026042,  9.45679576,\n",
              "       12.00454351,  8.91549403, 16.15619251, 10.29582883, 18.72473553,\n",
              "       19.76821818, 13.77469028, 12.49638908, 21.53501762,  7.60860741,\n",
              "        5.6119801 , 20.91759483, 11.80627665,  9.08076637,  8.51412012,\n",
              "       12.17604891,  9.9691939 , 21.73008956, 12.77770578, 18.1011362 ,\n",
              "       20.07590796, 14.26202556, 20.93826535, 10.83938827,  4.38190607,\n",
              "        9.51332406, 12.40486324, 10.17045434,  8.09081363, 13.16388427,\n",
              "        5.2243552 ,  9.28893833, 14.09330719,  8.69024497, 11.66119763,\n",
              "       15.71848432, 11.63156862, 13.35360735, 11.1531472 ,  6.33636845,\n",
              "        9.76157954,  9.4195714 , 24.25516546,  7.69519137, 12.15317572])"
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "y_pred = model.predict(X_test)\n",
        "y_pred\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QcWy9fYhkrbe",
        "outputId": "2e83cf8f-704e-47ef-e123-ce3133a9207d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([0.04405928, 0.1992875 , 0.00688245])"
            ]
          },
          "execution_count": 32,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.coef_ "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xQsfZ5mQlJL8",
        "outputId": "3c285e39-fac6-4f75-d423-d99cb52506fa"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "2.7089490925159065"
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.intercept_  \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qOP7MKKxl5oO"
      },
      "source": [
        "y_pred = b3 * TV + b2 * radio + b1 * newspaper + b0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e6HQDeaVlgdV",
        "outputId": "a77bf41d-af49-4114-cac4-49865eebd27c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "16.565396297434837"
            ]
          },
          "execution_count": 34,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "sum(X_test.loc[95] * model.coef_) + model.intercept_\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1MaLqVeLmrNM",
        "outputId": "ca7b9bea-3ce6-458f-821b-4d82050529d6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "8.91549402836781"
            ]
          },
          "execution_count": 35,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "sum(X_test.loc[56] * model.coef_) + model.intercept_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "id": "s3tb0sWJm5Kc"
      },
      "outputs": [],
      "source": [
        "my_dict = {\"Actual\": y_test, \"pred\": y_pred, \"residual\": y_test - y_pred}\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "IjvQZ67WnQ8L",
        "outputId": "0041a904-e451-4369-9327-98b123133363"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Actual</th>\n",
              "      <th>pred</th>\n",
              "      <th>residual</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>16.9</td>\n",
              "      <td>16.565396</td>\n",
              "      <td>0.334604</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>22.4</td>\n",
              "      <td>21.188228</td>\n",
              "      <td>1.211772</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>21.4</td>\n",
              "      <td>21.551071</td>\n",
              "      <td>-0.151071</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>7.3</td>\n",
              "      <td>10.889238</td>\n",
              "      <td>-3.589238</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>128</th>\n",
              "      <td>24.7</td>\n",
              "      <td>22.202320</td>\n",
              "      <td>2.497680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115</th>\n",
              "      <td>12.6</td>\n",
              "      <td>13.355569</td>\n",
              "      <td>-0.755569</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>69</th>\n",
              "      <td>22.3</td>\n",
              "      <td>21.196925</td>\n",
              "      <td>1.103075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>170</th>\n",
              "      <td>8.4</td>\n",
              "      <td>7.350285</td>\n",
              "      <td>1.049715</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>174</th>\n",
              "      <td>11.5</td>\n",
              "      <td>13.275471</td>\n",
              "      <td>-1.775471</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>14.9</td>\n",
              "      <td>15.124495</td>\n",
              "      <td>-0.224495</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>9.5</td>\n",
              "      <td>9.014430</td>\n",
              "      <td>0.485570</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>182</th>\n",
              "      <td>8.7</td>\n",
              "      <td>6.525428</td>\n",
              "      <td>2.174572</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>165</th>\n",
              "      <td>11.9</td>\n",
              "      <td>14.302060</td>\n",
              "      <td>-2.402060</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>5.3</td>\n",
              "      <td>8.970260</td>\n",
              "      <td>-3.670260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>10.3</td>\n",
              "      <td>9.456796</td>\n",
              "      <td>0.843204</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>177</th>\n",
              "      <td>11.7</td>\n",
              "      <td>12.004544</td>\n",
              "      <td>-0.304544</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>5.5</td>\n",
              "      <td>8.915494</td>\n",
              "      <td>-3.415494</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>152</th>\n",
              "      <td>16.6</td>\n",
              "      <td>16.156193</td>\n",
              "      <td>0.443807</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>11.3</td>\n",
              "      <td>10.295829</td>\n",
              "      <td>1.004171</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68</th>\n",
              "      <td>18.9</td>\n",
              "      <td>18.724736</td>\n",
              "      <td>0.175264</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>124</th>\n",
              "      <td>19.7</td>\n",
              "      <td>19.768218</td>\n",
              "      <td>-0.068218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>12.5</td>\n",
              "      <td>13.774690</td>\n",
              "      <td>-1.274690</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148</th>\n",
              "      <td>10.9</td>\n",
              "      <td>12.496389</td>\n",
              "      <td>-1.596389</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>22.2</td>\n",
              "      <td>21.535018</td>\n",
              "      <td>0.664982</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>9.3</td>\n",
              "      <td>7.608607</td>\n",
              "      <td>1.691393</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>8.1</td>\n",
              "      <td>5.611980</td>\n",
              "      <td>2.488020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>21.7</td>\n",
              "      <td>20.917595</td>\n",
              "      <td>0.782405</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>67</th>\n",
              "      <td>13.4</td>\n",
              "      <td>11.806277</td>\n",
              "      <td>1.593723</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125</th>\n",
              "      <td>10.6</td>\n",
              "      <td>9.080766</td>\n",
              "      <td>1.519234</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>132</th>\n",
              "      <td>5.7</td>\n",
              "      <td>8.514120</td>\n",
              "      <td>-2.814120</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10.6</td>\n",
              "      <td>12.176049</td>\n",
              "      <td>-1.576049</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>11.3</td>\n",
              "      <td>9.969194</td>\n",
              "      <td>1.330806</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>23.7</td>\n",
              "      <td>21.730090</td>\n",
              "      <td>1.969910</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>8.7</td>\n",
              "      <td>12.777706</td>\n",
              "      <td>-4.077706</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>150</th>\n",
              "      <td>16.1</td>\n",
              "      <td>18.101136</td>\n",
              "      <td>-2.001136</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104</th>\n",
              "      <td>20.7</td>\n",
              "      <td>20.075908</td>\n",
              "      <td>0.624092</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>135</th>\n",
              "      <td>11.6</td>\n",
              "      <td>14.262026</td>\n",
              "      <td>-2.662026</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>137</th>\n",
              "      <td>20.8</td>\n",
              "      <td>20.938265</td>\n",
              "      <td>-0.138265</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>164</th>\n",
              "      <td>11.9</td>\n",
              "      <td>10.839388</td>\n",
              "      <td>1.060612</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>6.9</td>\n",
              "      <td>4.381906</td>\n",
              "      <td>2.518094</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>11.0</td>\n",
              "      <td>9.513324</td>\n",
              "      <td>1.486676</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>197</th>\n",
              "      <td>12.8</td>\n",
              "      <td>12.404863</td>\n",
              "      <td>0.395137</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>10.1</td>\n",
              "      <td>10.170454</td>\n",
              "      <td>-0.070454</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>9.7</td>\n",
              "      <td>8.090814</td>\n",
              "      <td>1.609186</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122</th>\n",
              "      <td>11.6</td>\n",
              "      <td>13.163884</td>\n",
              "      <td>-1.563884</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>195</th>\n",
              "      <td>7.6</td>\n",
              "      <td>5.224355</td>\n",
              "      <td>2.375645</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>10.5</td>\n",
              "      <td>9.288938</td>\n",
              "      <td>1.211062</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>14.6</td>\n",
              "      <td>14.093307</td>\n",
              "      <td>0.506693</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>143</th>\n",
              "      <td>10.4</td>\n",
              "      <td>8.690245</td>\n",
              "      <td>1.709755</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>12.0</td>\n",
              "      <td>11.661198</td>\n",
              "      <td>0.338802</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114</th>\n",
              "      <td>14.6</td>\n",
              "      <td>15.718484</td>\n",
              "      <td>-1.118484</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>173</th>\n",
              "      <td>11.7</td>\n",
              "      <td>11.631569</td>\n",
              "      <td>0.068431</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>7.2</td>\n",
              "      <td>13.353607</td>\n",
              "      <td>-6.153607</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>126</th>\n",
              "      <td>6.6</td>\n",
              "      <td>11.153147</td>\n",
              "      <td>-4.553147</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>117</th>\n",
              "      <td>9.4</td>\n",
              "      <td>6.336368</td>\n",
              "      <td>3.063632</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>11.0</td>\n",
              "      <td>9.761580</td>\n",
              "      <td>1.238420</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>10.9</td>\n",
              "      <td>9.419571</td>\n",
              "      <td>1.480429</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>25.4</td>\n",
              "      <td>24.255165</td>\n",
              "      <td>1.144835</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>172</th>\n",
              "      <td>7.6</td>\n",
              "      <td>7.695191</td>\n",
              "      <td>-0.095191</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>11.7</td>\n",
              "      <td>12.153176</td>\n",
              "      <td>-0.453176</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     Actual       pred  residual\n",
              "95     16.9  16.565396  0.334604\n",
              "15     22.4  21.188228  1.211772\n",
              "30     21.4  21.551071 -0.151071\n",
              "158     7.3  10.889238 -3.589238\n",
              "128    24.7  22.202320  2.497680\n",
              "115    12.6  13.355569 -0.755569\n",
              "69     22.3  21.196925  1.103075\n",
              "170     8.4   7.350285  1.049715\n",
              "174    11.5  13.275471 -1.775471\n",
              "45     14.9  15.124495 -0.224495\n",
              "66      9.5   9.014430  0.485570\n",
              "182     8.7   6.525428  2.174572\n",
              "165    11.9  14.302060 -2.402060\n",
              "78      5.3   8.970260 -3.670260\n",
              "186    10.3   9.456796  0.843204\n",
              "177    11.7  12.004544 -0.304544\n",
              "56      5.5   8.915494 -3.415494\n",
              "152    16.6  16.156193  0.443807\n",
              "82     11.3  10.295829  1.004171\n",
              "68     18.9  18.724736  0.175264\n",
              "124    19.7  19.768218 -0.068218\n",
              "16     12.5  13.774690 -1.274690\n",
              "148    10.9  12.496389 -1.596389\n",
              "93     22.2  21.535018  0.664982\n",
              "65      9.3   7.608607  1.691393\n",
              "60      8.1   5.611980  2.488020\n",
              "84     21.7  20.917595  0.782405\n",
              "67     13.4  11.806277  1.593723\n",
              "125    10.6   9.080766  1.519234\n",
              "132     5.7   8.514120 -2.814120\n",
              "9      10.6  12.176049 -1.576049\n",
              "18     11.3   9.969194  1.330806\n",
              "55     23.7  21.730090  1.969910\n",
              "75      8.7  12.777706 -4.077706\n",
              "150    16.1  18.101136 -2.001136\n",
              "104    20.7  20.075908  0.624092\n",
              "135    11.6  14.262026 -2.662026\n",
              "137    20.8  20.938265 -0.138265\n",
              "164    11.9  10.839388  1.060612\n",
              "76      6.9   4.381906  2.518094\n",
              "79     11.0   9.513324  1.486676\n",
              "197    12.8  12.404863  0.395137\n",
              "38     10.1  10.170454 -0.070454\n",
              "24      9.7   8.090814  1.609186\n",
              "122    11.6  13.163884 -1.563884\n",
              "195     7.6   5.224355  2.375645\n",
              "29     10.5   9.288938  1.211062\n",
              "19     14.6  14.093307  0.506693\n",
              "143    10.4   8.690245  1.709755\n",
              "86     12.0  11.661198  0.338802\n",
              "114    14.6  15.718484 -1.118484\n",
              "173    11.7  11.631569  0.068431\n",
              "5       7.2  13.353607 -6.153607\n",
              "126     6.6  11.153147 -4.553147\n",
              "117     9.4   6.336368  3.063632\n",
              "73     11.0   9.761580  1.238420\n",
              "140    10.9   9.419571  1.480429\n",
              "98     25.4  24.255165  1.144835\n",
              "172     7.6   7.695191 -0.095191\n",
              "96     11.7  12.153176 -0.453176"
            ]
          },
          "execution_count": 36,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "comparing = pd.DataFrame(my_dict)\n",
        "comparing"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "id": "kN1i_zUAnZbu"
      },
      "outputs": [],
      "source": [
        "result_sample = comparing.head(25)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 438
        },
        "id": "wzCGRqbMsCMZ",
        "outputId": "82241613-f15e-4d9d-c869-07f2084e0c23"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 936x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "result_sample.plot(kind= \"bar\", figsize = (13,7));\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RAmB7fWlt1Aw"
      },
      "source": [
        "## Error Metrics"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "id": "TDUqugvvsl_v"
      },
      "outputs": [],
      "source": [
        "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "t5dCQ3I1uAPi",
        "outputId": "c5d3db59-a9d5-46db-8fc7-753eeeb80e45"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.8609466508230368"
            ]
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "R2_score = r2_score(y_test, y_pred)\n",
        "\n",
        "R2_score\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RdaATLdxuQUs",
        "outputId": "535248f1-5107-4c4c-d072-c353a49cbb05"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1.5116692224549084"
            ]
          },
          "execution_count": 41,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mae = mean_absolute_error(y_test, y_pred)\n",
        "mae"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Tv4wuZe8yhzs",
        "outputId": "7159b245-06b9-4887-ced9-950bfc9a1dc1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "3.7967972367152183"
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mse = mean_squared_error(y_test, y_pred)\n",
        "mse\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nlduZjK9zBKd",
        "outputId": "970ef49b-c8e8-4c4a-b4a3-c67fb13687bd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1.9485372043446383"
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "rmse = np.sqrt(mean_squared_error(y_test, y_pred))\n",
        "rmse\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mnIJ6c8VAQ9L",
        "outputId": "a3b318c0-00ab-45f0-b6be-a15dcb9f221c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "14.0225"
            ]
          },
          "execution_count": 44,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "sales_mean = df[\"sales\"].mean()\n",
        "sales_mean"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qy2AOq4bARXp",
        "outputId": "8f372faf-0263-484c-f654-76cafb339fc7"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.10780311802138764"
            ]
          },
          "execution_count": 45,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mae / sales_mean"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-xOtLoS-ASSr",
        "outputId": "df121a74-0cd0-45f3-cbb1-2691d4e45dcd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.13895790367941796"
            ]
          },
          "execution_count": 46,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "rmse / sales_mean"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xQiD20n3B0FB"
      },
      "source": [
        "## Adjusted R2 Score (düzenlenmiş R2 skor)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "id": "WrxBFlAwAS3q"
      },
      "outputs": [],
      "source": [
        "def adj_r2(y_test, y_pred, df):\n",
        "    r2 = r2_score(y_test, y_pred)\n",
        "    n = df.shape[0]   # number of observations gözlem\n",
        "    p = df.shape[1]-1 # number of independent variables feature\n",
        "    adj_r2 = 1 - (1-r2)*(n-1)/(n-p-1)\n",
        "    return adj_r2\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L6AGTaifB_LO",
        "outputId": "e8c68734-fea7-46da-9897-ff6d8c314dc8"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.8588182832335934"
            ]
          },
          "execution_count": 48,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "adj_r2(y_test, y_pred, df)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vubkdBwU_FvK"
      },
      "source": [
        "## What is the concept of punishment for RMSE error metric?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "id": "nF_AfnUgzl6u"
      },
      "outputs": [],
      "source": [
        "variables = {\"Actual\": [1000, 2000, 3000, 4000, 5000], \"pred\": [1100, 2200, 3200, 4200, 5300]}\n",
        "variables2 = {\"Actual\": [1000, 2000, 3000, 4000, 5000], \"pred\": [1100, 2200, 3200, 4200, 5800]} \n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "KtJSIMz0_PiR",
        "outputId": "c3506ad0-431c-4a7e-f47c-83aba837193a"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "<style scoped>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Actual</th>\n",
              "      <th>pred</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1000</td>\n",
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              "      <th>1</th>\n",
              "      <td>2000</td>\n",
              "      <td>2200</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3000</td>\n",
              "      <td>3200</td>\n",
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              "      <th>3</th>\n",
              "      <td>4000</td>\n",
              "      <td>4200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5000</td>\n",
              "      <td>5300</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Actual  pred\n",
              "0    1000  1100\n",
              "1    2000  2200\n",
              "2    3000  3200\n",
              "3    4000  4200\n",
              "4    5000  5300"
            ]
          },
          "execution_count": 52,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_2 = pd.DataFrame(variables)\n",
        "df_2\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "JfmVPct6_Vd4",
        "outputId": "0c08ca79-acaa-4b0f-86f9-7756d0a0bce5"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Actual</th>\n",
              "      <th>pred</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1000</td>\n",
              "      <td>1100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2000</td>\n",
              "      <td>2200</td>\n",
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              "      <th>2</th>\n",
              "      <td>3000</td>\n",
              "      <td>3200</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4000</td>\n",
              "      <td>4200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5000</td>\n",
              "      <td>5800</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Actual  pred\n",
              "0    1000  1100\n",
              "1    2000  2200\n",
              "2    3000  3200\n",
              "3    4000  4200\n",
              "4    5000  5800"
            ]
          },
          "execution_count": 53,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_3 = pd.DataFrame(variables2)\n",
        "df_3\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "P2LkD26D_mly",
        "outputId": "77408399-e78f-4b4d-bf11-37bafe23eb14"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Actual</th>\n",
              "      <th>pred</th>\n",
              "      <th>residual</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1000</td>\n",
              "      <td>1100</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2000</td>\n",
              "      <td>2200</td>\n",
              "      <td>200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3000</td>\n",
              "      <td>3200</td>\n",
              "      <td>200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4000</td>\n",
              "      <td>4200</td>\n",
              "      <td>200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5000</td>\n",
              "      <td>5300</td>\n",
              "      <td>300</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Actual  pred  residual\n",
              "0    1000  1100       100\n",
              "1    2000  2200       200\n",
              "2    3000  3200       200\n",
              "3    4000  4200       200\n",
              "4    5000  5300       300"
            ]
          },
          "execution_count": 54,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_2[\"residual\"] = abs(df_2.Actual - df_2.pred)\n",
        "\n",
        "df_2\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 55,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "9GaKKjfx__wl",
        "outputId": "4dce6aae-0d75-44d3-9737-c80408ca829e"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Actual</th>\n",
              "      <th>pred</th>\n",
              "      <th>residual</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1000</td>\n",
              "      <td>1100</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2000</td>\n",
              "      <td>2200</td>\n",
              "      <td>200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3000</td>\n",
              "      <td>3200</td>\n",
              "      <td>200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4000</td>\n",
              "      <td>4200</td>\n",
              "      <td>200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5000</td>\n",
              "      <td>5800</td>\n",
              "      <td>800</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Actual  pred  residual\n",
              "0    1000  1100       100\n",
              "1    2000  2200       200\n",
              "2    3000  3200       200\n",
              "3    4000  4200       200\n",
              "4    5000  5800       800"
            ]
          },
          "execution_count": 55,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_3[\"residual\"] = abs(df_3.Actual - df_3.pred)\n",
        "\n",
        "df_3\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CusyUVTJALuJ",
        "outputId": "b7d9dcab-37c8-499d-8a9b-486b355f9537"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "200.0"
            ]
          },
          "execution_count": 56,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_2.residual.sum()/5  #MAE"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 57,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7MWZ3RCMAXOE",
        "outputId": "f684922a-f126-4110-9662-c1a40436ab8d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "300.0"
            ]
          },
          "execution_count": 57,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_3.residual.sum()/5  #MAE\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XibqzZDtAdXZ",
        "outputId": "8cfa134f-a7c6-4d97-9f0f-2042a4ffb703"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "209.76176963403032"
            ]
          },
          "execution_count": 58,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "((df_2.residual**2).sum() / 5) ** 0.5  #RMSE\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uleBkcNpA1xi",
        "outputId": "fad462cb-d361-4c59-98da-76974469957b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "209.76176963403032"
            ]
          },
          "execution_count": 59,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "np.sqrt((df_2.residual**2).sum() / 5)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qZUT8FO3D5i3"
      },
      "source": [
        "## Evaluation Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "metadata": {
        "id": "DMkGO6M9A5b-"
      },
      "outputs": [],
      "source": [
        "def eval_metric(actual, pred):\n",
        "    mae = mean_absolute_error(actual, pred)\n",
        "    mse = mean_squared_error(actual, pred)\n",
        "    rmse = np.sqrt(mean_squared_error(actual, pred))\n",
        "    R2_score = r2_score(actual, pred)\n",
        "    print(\"Model testing performance: \")\n",
        "    print(\"---------------------------\")\n",
        "    print(f\"R2_score \\t: {R2_score}\")\n",
        "    print(f\"MAE \\t\\t: {mae}\")\n",
        "    print(f\"MSE \\t\\t: {mse}\")\n",
        "    print(f\"RMSE \\t\\t: {rmse}\")\n",
        "    "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 61,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E8QXLGQsEEkL",
        "outputId": "43773efd-3903-4bec-e5f7-f1b56d913b42"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model testing performance: \n",
            "---------------------------\n",
            "R2_score \t: 0.8609466508230368\n",
            "MAE \t\t: 1.5116692224549084\n",
            "MSE \t\t: 3.7967972367152183\n",
            "RMSE \t\t: 1.9485372043446383\n"
          ]
        }
      ],
      "source": [
        "eval_metric(y_test, y_pred)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "id": "yq8KK6WWEIg7"
      },
      "outputs": [],
      "source": [
        "y_train_pred = model.predict(X_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tVw_MAofE4zs",
        "outputId": "abf0d9ba-f198-491d-f8ab-54c70a18a64b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model testing performance: \n",
            "---------------------------\n",
            "R2_score \t: 0.9055159502227753\n",
            "MAE \t\t: 1.1581502948072528\n",
            "MSE \t\t: 2.4793551789057866\n",
            "RMSE \t\t: 1.574596830590544\n"
          ]
        }
      ],
      "source": [
        "eval_metric(y_train, y_train_pred)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2YQgtSnjJsQ6"
      },
      "source": [
        "## Is Data Suitable for Linear Regression"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 388
        },
        "id": "uaMAKYBUE9Ga",
        "outputId": "0d55d398-02e7-4a9c-a977-27eec75efc94"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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eqxMA8oYABiQENawAID+YhA8kBDWsACA/CGBAglDDCgDygSFIAACAwOgBA3Iiilyj4xPae6CoZYsY3gSAOBHAgByIItctu/ZM1RmrTPAfWrmcEAYAMWAIEsgBirwCQLIQwIAcoMgrACQLAQzIAYq8AkCyEMCAHKDIKwAkC5PwgRygyCsAJAsBDMgJirwCQHIwBAkAABAYAQwAACAwAhgAAEBgBDAAAIDAmIQPIFXY0xJAFhDAAKQGe1oCyAqGIAGkBntaAsgKAhiA1GBPSwBZQQADkBrsaQkgKwhgQIZFkWtk7JC2796vkbFDiiKPu0ktYU9LAFkx50n4ZlaQ1OvuBzrQHgBtksUJ6+xpCSArmuoBM7P/bWaLzKxH0oOSHjKzP+ps0wC0IqsT1it7Wq4eWKKBvl7CF4BUanYI8qXlHq83S7pZ0gskXdqpRgFoHRPWASC5mg1gXWbWpVIAu8ndJyWlezIJkHFMWAeA5Go2gH1J0qikHkk/MrNfl8QcMCDBmLAOAMll7vPryDKzBe5+uM3taWhwcNCHh4dDPiWQapVte5iwDgDhmdkOdx+sdaypVZBmtkzSpyWd4u4XmNlLJZ0j6SvtayaAdqtMWB/o6427KQCAaZodgrxG0q2STil//qikyzvQHgAAgMxrNoAtcfetkiJJKg89HulYq4AcyVqxVADA7JotxDphZotVXvloZqslPdOxVgEJUZlDtfdAUcsWzZxDNdvxZr5/1oqlAgBm12wA2yjpJkkvNLN/kdQn6eKOtQpIgNnCUTvCU71iqSs2rGHeFgBkWFNDkO5+r6TflnSupPdIWunu93eyYUDcZqsk345K8xRLBYB8atgDZma/V+fQGWYmd7+xA20CEqFROBro6531eDMqxVKnfx+KpQJA9s02BPmmBsdcEgEMmTVbOGpHeKoUS60exqRYKgBk27wLscaBQqwIKcQcsMrzUCwVALKnUSHWpgOYmb1R0kpJU3/eu/sft6WFTSKAIbTZwlEr4anVFZQAgGRrRyX8v5N0vKTXSPqySisgf9y2FgIJNVsl+flWmqf8BADkW7OFWM9197dL+oW7/y+VtiE6o3PNArKtHSsoAQDp1WwAq6yJf9bMTpF0WNLJnWkSkH2UnwCAfGu2EOt3zexESVdJulelFZBXd6pRQNZRfgIA8q3ZHrBHJB1x9xskfUHSXZK+06lGAVlXKT/R3VW6BCk/AQD50mwP2Cfc/e/N7JWSXivps5K+KOnsjrUMyLBCwTS0crlWbFhD+QkAyKFme8COlP99o6Sr3f2fJB073yc1s6vM7BEzu9/Mvl0e3gRypbKCcvXAEg309RK+Ui6KXCNjh7R9936NjB1SFKWnxiKA8JoNYE+Z2ZckXSJpm5kdN4fH1nKbpN9w95dLelTSR1v4XgAQq0pZkbWb79Rbr75bazffqVt27SGEAair2RC1TtKtkt7g7v8u6SRJfzTfJ3X377v74fKnd0k6bb7fCwDiRlkRAHPVVABz92fd/UZ3f6z8+dPu/v02teHdkm6ud9DM1pvZsJkNj42NtekpAaB9KCsCYK5aGUZsyMxuN7MHa3xcNO0+V6hUU+zaet/H3be4+6C7D/b19XWquQAwb5WyItNRVgRAI82ugpwzdz+/0XEze6ekCyWd52naERwAqlTKilRvLUVZEQD1dCyANWJmQ5I+LOm33f3ZONoAAO1CWREAcxVLAJP0N5KOk3SbmUnSXe7+3pjaAgAtm+/G7ADyKZYA5u4viuN5AQAAkqBjk/ABAABQGwEMAAAgMAIYAABAYAQwAACAwOJaBQmgSVHkGh2f0N4DRS1bRHkDAMgCAhiQYJVNnqsLfA6tXE4IA4AUYwgSSDA2eQaAbCKAAQnGJs8AkE0EMCDB2OQZALKJAAYkWGWT50oIY5NnAMgGJuEDCcYmzwCQTQQwIOHY5BkAsochSAAAgMDoAQNiRqFVAMgfAhgQIwqtAkA+MQQJxIhCqwCQTwQwIEYUWgWAfCKAATGi0CoA5BMBbI6iyDUydkjbd+/XyNghRZHH3SSkGIVWASCfmIQ/B0yYRrtRaBUA8okesDlgwjQ6oVJodfXAEg309RK+ACAHCGBzwIRpAADQDgSwOWDCNAAAaAcC2BwwYRoAALQDk/DngAnTAACgHQhgc1SZMD3Q1xt3UwAAQEoxBAkAABAYAQwAACAwAhgAAEBgBDAAAIDACGAAAACBEcAAAAACI4ABAAAERgADAAAIjAAGAAAQGAEMAAAgMAIYAABAYOwF2UAUuUbHJ7T3QFHLFrHxNgAAaA8CWB1R5Lpl1x5t3LpTxclI3V0FbVq3SkMrlxPCAABASxiCrGN0fGIqfElScTLSxq07NTo+EXPLAABA2hHA6th7oDgVviqKk5H2HSzG1CIAAJAVBLA6li3qVnfX0T+e7q6Cli7sjqlFAAAgKwhgdfQv7tGmdaumQlhlDlj/4p6YWza7KHKNjB3S9t37NTJ2SFHkcTcJAABMwyT8OgoF09DK5VqxYY32HSxq6cJ0rIJk8QAAAMlHD1gDhYJpoK9XqweWaKCvNxUBhsUDAAAkHwGsLCvDdiweAAAg+RiCVLaG7SqLB6aHMBYPAACQLPSAKVvDdmlePAAAQF7QA6bGw3YDfb0xtWp+0rp4AACAPCGAKXvDdpXFA2kLjwAA5AVDkGLYDgAAhEUPmBi2AwAAYRHAyhi2AwAAoTAECQAAEBgBDAAAILBYA5iZfdDM3MyWxNkOAACAkGILYGZ2uqTXS/pZXG0AAACIQ5w9YH8p6cOS0rnpIgAAwDzFsgrSzC6S9JS732dGqYcsiyLX6PiE9h4oatkiynsAACB1MICZ2e2Sltc4dIWkj6k0/NjM91kvab0kPf/5z29b+9B5WdrkHACAdjL3sCOAZvYySXdIerb8pdMk/Zuks9x9T6PHDg4O+vDwcIdbiHYZGTuktZvvnLHF07YNa6i3BgDIPDPb4e6DtY4FH4J09wckLa18bmajkgbdfX/otqCzsrTJOQAA7UQdMHRMZZPz6dK8yTkAAO0SewBz9356v7KJTc4BAKiNvSDRMWxyDgBAbQQwdBSbnAMAMFPsQ5AAAAB5QwADAAAIjAAGAAAQGAEMAAAgMAIYAABAYAQwAACAwAhgAAAAgVEHLEGiyDU6PqG9B4patoiipQAAZBUBLCGiyHXLrj3auHWnipPR1LY9QyuXE8IAAMgYhiATYnR8Yip8SVJxMtLGrTs1Oj4Rc8sAAEC7EcASYu+B4lT4qihORtp3sBhTiwAAQKcQwBJi2aJudXcd/XJ0dxW0dGF3TC0CAACdQgBLiP7FPdq0btVUCKvMAetf3BNzywAAQLsxCT8hCgXT0MrlWrFhjfYdLGrpQlZBAgCQVQSwBCkUTAN9vRro6427KQAAoIMYggQAAAiMAAYAABAYAQwAACAwAhgAAEBgBDAAAIDACGAAAACBEcAAAAACI4ABAAAERgADAAAIjAAGAAAQGAEMAAAgMAIYAABAYAQwAACAwAhgAAAAgRHAAAAAAiOAAQAABEYAAwAACIwABgAAEBgBDAAAIDACGAAAQGAEMAAAgMAIYAAAAIERwAAAAAIjgAEAAARGAAMAAAiMAAYAABAYAQwAACAwAhgAAEBgBDAAAIDACGAAAACBEcAAAAACI4ABAAAERgADAAAIjAAGAAAQGAEMAAAgMAIYAABAYAQwAACAwAhgAAAAgRHAAAAAAostgJnZ/zCzR8xsl5n9RVztAAAACG1BHE9qZq+RdJGk33T3X5nZ0jjaAQAAEIe4esAuk/Tn7v4rSXL3fTG1AwAAILi4AtgZktaY2d1m9s9m9lv17mhm681s2MyGx8bGAjYRAACgMzo2BGlmt0taXuPQFeXnPUnSakm/JWmrmQ24u1ff2d23SNoiSYODgzOOAwAApE3HApi7n1/vmJldJunGcuD6sZlFkpZIootrnqLINTo+ob0Hilq2qFv9i3tUKFjczQIAADXEMglf0nckvUbSD8zsDEnHStofU1tSL4pct+zao41bd6o4Gam7q6BN61ZpaOVyQhgAAAkU1xywr0oaMLMHJV0n6R21hh/RnNHxianwJUnFyUgbt+7U6PhEzC0DAAC1xNID5u7PSXpbHM+dRXsPFKfCV0VxMtK+g0UN9PXG1CoAAFAPlfAzYNmibnV3Hf1SdncVtHRhd0wtAgAAjRDAMqB/cY82rVs1FcIqc8D6F/fE3DIAAFBLXJPw0UaFgmlo5XKt2LBG+w4WtXQhqyABAEgyAlhGFAqmgb5e5nwBAJACDEECAAAERgADAAAIjAAGAAAQGAEMAAAgMAIYAABAYAQwAACAwAhgAAAAgRHAAAAAAiOAAQAABEYAAwAACMzcPe42NM3MxiT9tA3faomk/W34PmnEuecT555PnHs+ce7J8evu3lfrQKoCWLuY2bC7D8bdjjhw7px73nDunHvecO7pOHeGIAEAAAIjgAEAAASW1wC2Je4GxIhzzyfOPZ8493zi3FMgl3PAAAAA4pTXHjAAAIDYZDqAmdmomT1gZjvNbLjGcTOzzWb2uJndb2ZnxtHOdjOzl5TPufJxwMwur7rPq83smWn3uTKm5rbMzL5qZvvM7MFpXzvJzG4zs8fK/z6vzmPfUb7PY2b2jnCtbo86536VmT1Sfk9/28xOrPPYhtdH0tU590+a2VPT3tdr6zx2yMx+Ur72PxKu1e1R59yvn3beo2a2s85j0/66n25mPzCzh8xsl5l9oPz1zF/zDc4989d8g3NP7zXv7pn9kDQqaUmD42sl3SzJJK2WdHfcbe7Az+AYSXtUqkUy/euvlvS9uNvXpnN8laQzJT047Wt/Iekj5dsfkfSZGo87SdJI+d/nlW8/L+7zacO5v17SgvLtz9Q69/KxhtdH0j/qnPsnJX1olscdI2m3pAFJx0q6T9JL4z6fVs+96vjnJF2Z0df9ZElnlm8vlPSopJfm4ZpvcO6Zv+YbnHtqr/lM94A14SJJX/eSuySdaGYnx92oNjtP0m53b0cB20Ry9x9J+nnVly+S9LXy7a9JenONh75B0m3u/nN3/4Wk2yQNdaqdnVDr3N39++5+uPzpXZJOC96wAOq87s04S9Lj7j7i7s9Juk6l90tqNDp3MzNJ6yR9K2ijAnH3p9393vLtg5IelnSqcnDN1zv3PFzzDV73ZiTyms96AHNJ3zezHWa2vsbxUyU9Me3zJ9X8C5oWb1H9/4jPMbP7zOxmM1sZslEBLHP3p8u390haVuM+eXj9361SL28ts10fafX+8lDMV+sMQ2X9dV8jaa+7P1bneGZedzPrl/QKSXcrZ9d81blPl/lrvsa5p/Kaz3oAe6W7nynpAkl/aGavirtBIZnZsZJ+R9Lf1zh8r0rDkr8p6a8lfSdg04LyUh907pb7mtkVkg5LurbOXbJ4fXxR0gslrZL0tEpDcXnzVjXu/crE625mvZJukHS5ux+Yfizr13y9c8/DNV/j3FN7zWc6gLn7U+V/90n6tkrdkNM9Jen0aZ+fVv5aVlwg6V5331t9wN0PuPuh8u1tkrrMbEnoBnbQ3spwcvnffTXuk9nX38zeKelCSf+1/Mtohiauj9Rx973ufsTdI0lXq/Y5Zfl1XyDp9yRdX+8+WXjdzaxLpV/C17r7jeUv5+Kar3Puubjma517mq/5zAYwM+sxs4WV2ypNUnyw6m43SXq7layW9My0LuwsqPuXsJktL88VkZmdpdJ7YTxg2zrtJkmVFU7vkPSPNe5zq6TXm9nzyt3Wry9/LdXMbEjShyX9jrs/W+c+zVwfqVM1h/N3Vfuc7pH0YjN7QbmX+C0qvV+y4HxJj7j7k7UOZuF1L/+/9RVJD7v7pmmHMn/N1zv3PFzzDc49vdd83KsAOvWh0mqH+8ofuyRdUf76eyW9t3zbJH1BpdURD0gajLvdbTz/HpUC1QnTvjb93N9f/rncp9KkzXPjbnML5/otlbqeJ1Ua2/9vkhZLukPSY5Jul3RS+b6Dkr487bHvlvR4+eNdcZ9Lm879cZXmO+wsf/xd+b6nSNpWvl3z+kjTR51z/0b5Wr5fpf9gT64+9/Lna1VaRbU7K+de/vo1lWt82n2z9rq/UqXhxfunvcfX5uGab3Dumb/mG5x7aq95KuEDAAAEltkhSAAAgKQigAEAAARGAAMAAAiMAAYAABAYAQwAACAwAhiAXDOza8zs4rjbASBfCGAAAACBEcAAZE656vc/lTebf9DMLjGzK83snvLnWyo7QVQ97j+b2T+XNyu+ddrWNhvM7KHyhr/XhT8jAFmzIO4GAEAHDEn6N3d/oySZ2QmSbnP3Py5//g2V9s37buUB5X3m/lrSRe4+ZmaXSPpTlSqnf0TSC9z9V2Z2YtAzAZBJ9IAByKIHJL3OzD5jZmvc/RlJrzGzu83sAUmvlbSy6jEvkfQbkm4zs52SPq7Spr1SaZuTa83sbZIOBzkDAJlGDxiAzHH3R83sTJX2f/uUmd0h6Q9V2u/1CTP7pKTuqoeZpF3ufk6Nb/lGSa+S9CZJV5jZy9ydIAZg3ugBA5A5ZnaKpGfd/ZuSrpJ0ZvnQfjPrlVRr1eNPJPWZ2Tnl79FlZivNrCDpdHf/gaT/KekESb0dPwkAmUYPGIAsepmkq8wskjQp6TJJb5b0oKQ9ku6pfoC7P1cuR7G5PGdsgaTPS3pU0jfLXzNJm9393wOcA4AMM3ePuw0AAAC5whAkAABAYAQwAACAwAhgAAAAgRHAAAAAAiOAAQAABEYAAwAACIwABgAAEBgBDAAAILD/D1dc8KJifIgVAAAAAElFTkSuQmCC",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "residuals = y_test - y_pred\n",
        "plt.figure(figsize= (10,6))\n",
        "sns.scatterplot(x = y_test, y = residuals) # residuals\n",
        "plt.axhline(y= 0, color = \"r\", linestyle = \"--\") #horizantal line\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 388
        },
        "id": "5gU31BDSKAcn",
        "outputId": "43921da9-6789-461e-d048-4f698969545a"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.kdeplot(residuals);"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 66,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "id": "HK5DNqp4LzN3",
        "outputId": "09013770-abe1-458a-c997-7abbe6e8412b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "stats.probplot(residuals, dist=\"norm\", plot=plt);"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "dA5ASqVOMwLZ",
        "outputId": "7f49c8d4-027e-4c77-b023-ee3dea44cf86"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x432 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.jointplot(x=y_test, y=residuals, data=df);"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 68,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p9kDNISMMJAI",
        "outputId": "95c9bce4-7446-48fd-a5dd-0cc9b89b79b1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "-0.9865673346742723"
            ]
          },
          "execution_count": 68,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "skew(residuals)  "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting yellowbrick\n",
            "  Downloading yellowbrick-1.5-py3-none-any.whl (282 kB)\n",
            "     -------------------------------------- 282.6/282.6 kB 1.1 MB/s eta 0:00:00\n",
            "Requirement already satisfied: scipy>=1.0.0 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from yellowbrick) (1.8.1)\n",
            "Requirement already satisfied: cycler>=0.10.0 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from yellowbrick) (0.11.0)\n",
            "Requirement already satisfied: scikit-learn>=1.0.0 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from yellowbrick) (1.1.2)\n",
            "Requirement already satisfied: numpy>=1.16.0 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from yellowbrick) (1.23.0)\n",
            "Requirement already satisfied: matplotlib!=3.0.0,>=2.0.2 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from yellowbrick) (3.5.2)\n",
            "Requirement already satisfied: packaging>=20.0 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.0.0,>=2.0.2->yellowbrick) (21.3)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.0.0,>=2.0.2->yellowbrick) (4.34.4)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.0.0,>=2.0.2->yellowbrick) (1.4.4)\n",
            "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.0.0,>=2.0.2->yellowbrick) (9.2.0)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.0.0,>=2.0.2->yellowbrick) (2.8.2)\n",
            "Requirement already satisfied: pyparsing>=2.2.1 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.0.0,>=2.0.2->yellowbrick) (3.0.9)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from scikit-learn>=1.0.0->yellowbrick) (3.1.0)\n",
            "Requirement already satisfied: joblib>=1.0.0 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from scikit-learn>=1.0.0->yellowbrick) (1.1.0)\n",
            "Requirement already satisfied: six>=1.5 in c:\\users\\hatic\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from python-dateutil>=2.7->matplotlib!=3.0.0,>=2.0.2->yellowbrick) (1.16.0)\n",
            "Installing collected packages: yellowbrick\n",
            "Successfully installed yellowbrick-1.5\n",
            "\n",
            "[notice] A new release of pip available: 22.2 -> 22.2.2\n",
            "[notice] To update, run: C:\\Users\\hatic\\AppData\\Local\\Microsoft\\WindowsApps\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\python.exe -m pip install --upgrade pip\n"
          ]
        }
      ],
      "source": [
        "!pip install yellowbrick"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "metadata": {
        "id": "GkacMjCTMgmF"
      },
      "outputs": [],
      "source": [
        "from yellowbrick.regressor import ResidualsPlot"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 71,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 376
        },
        "id": "cR9XzpbfMqf7",
        "outputId": "316f0037-6541-4d37-f21d-738f784fda99"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 576x396 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "model = LinearRegression()\n",
        "visualizer = ResidualsPlot(model)\n",
        "\n",
        "visualizer.fit(X_train, y_train)  # Fit the training data to the visualizer\n",
        "visualizer.score(X_test, y_test)  # Evaluate the model on the test data\n",
        "visualizer.show();  # Finalize and render the figure\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 72,
      "metadata": {
        "id": "uBDDPpp3Nuuy"
      },
      "outputs": [],
      "source": [
        "from yellowbrick.regressor import PredictionError"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 378
        },
        "id": "cdggb_d4Oniv",
        "outputId": "89d771f8-de4d-4a88-bb30-127e0454a8bc"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "model = LinearRegression()\n",
        "visualizer = PredictionError(model)\n",
        "visualizer.fit(X_train, y_train)\n",
        "visualizer.score(X_test, y_test)\n",
        "visualizer.show();"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u_O4KVM5PzJW"
      },
      "source": [
        "## Retraining Model on Full Data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 74,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WX9EgFRaO_bc",
        "outputId": "3625e7d6-be8b-4379-c64a-04c41749ba79"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
            ],
            "text/plain": [
              "LinearRegression()"
            ]
          },
          "execution_count": 74,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "final_model = LinearRegression()\n",
        "final_model.fit(X, y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 75,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "id": "C2k1J6ZvQIEP",
        "outputId": "5d651aed-c399-460c-e5e8-9b6b2ae12d8d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([ 0.04576465,  0.18853002, -0.00103749])"
            ]
          },
          "execution_count": 75,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "final_model.coef_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 76,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "id": "rvIUmWnHQTLf",
        "outputId": "d10eab58-5f75-47f0-aac4-d61c12df1a00"
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      "outputs": [
        {
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            ],
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              "      TV  radio  newspaper  sales\n",
              "0  230.1   37.8       69.2   22.1"
            ]
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          "execution_count": 76,
          "metadata": {},
          "output_type": "execute_result"
        }
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      "source": [
        "df.head(1)"
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      "cell_type": "code",
      "execution_count": 77,
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        {
          "data": {
            "text/plain": [
              "array([0.04405928, 0.1992875 , 0.00688245])"
            ]
          },
          "execution_count": 77,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.coef_"
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    },
    {
      "cell_type": "code",
      "execution_count": 78,
      "metadata": {
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          "base_uri": "https://localhost:8080/"
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        "id": "ydjyEebhQaKM",
        "outputId": "ca5648b9-bb39-4b39-a6f5-056b5f5e81e6"
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      "outputs": [
        {
          "data": {
            "text/plain": [
              "2.9388893694594085"
            ]
          },
          "execution_count": 78,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "final_model.intercept_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 79,
      "metadata": {
        "id": "4D_vwmHrSM0P"
      },
      "outputs": [],
      "source": [
        "coeff_df = pd.DataFrame(final_model.coef_, index = X.columns, columns = [\"Coefficient\"])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 80,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "e4m_CRmbTlt_",
        "outputId": "701dfa84-dfc7-43ea-dcd3-61eaedb80588"
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        {
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              "      <th>Coefficient</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>TV</th>\n",
              "      <td>0.045765</td>\n",
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              "      <th>radio</th>\n",
              "      <td>0.188530</td>\n",
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              "      <td>-0.001037</td>\n",
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              "           Coefficient\n",
              "TV            0.045765\n",
              "radio         0.188530\n",
              "newspaper    -0.001037"
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F04f7mloVg-M"
      },
      "source": [
        "## Prediction on New Data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 81,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "8EVD1EemVhtp",
        "outputId": "efd6477a-59dd-483e-84f0-edc7ff01e0b5"
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      "outputs": [
        {
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              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>230.1</td>\n",
              "      <td>37.8</td>\n",
              "      <td>69.2</td>\n",
              "      <td>22.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>44.5</td>\n",
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              "      <td>45.1</td>\n",
              "      <td>10.4</td>\n",
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              "      <th>2</th>\n",
              "      <td>17.2</td>\n",
              "      <td>45.9</td>\n",
              "      <td>69.3</td>\n",
              "      <td>9.3</td>\n",
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              "      <th>3</th>\n",
              "      <td>151.5</td>\n",
              "      <td>41.3</td>\n",
              "      <td>58.5</td>\n",
              "      <td>18.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>180.8</td>\n",
              "      <td>10.8</td>\n",
              "      <td>58.4</td>\n",
              "      <td>12.9</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      TV  radio  newspaper  sales\n",
              "0  230.1   37.8       69.2   22.1\n",
              "1   44.5   39.3       45.1   10.4\n",
              "2   17.2   45.9       69.3    9.3\n",
              "3  151.5   41.3       58.5   18.5\n",
              "4  180.8   10.8       58.4   12.9"
            ]
          },
          "execution_count": 81,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 82,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-tT4HfcNVoDR",
        "outputId": "3506134b-8185-414e-d78f-df1a25c2e202"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[[150, 20, 15]]"
            ]
          },
          "execution_count": 82,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "adv = [[150, 20, 15]]\n",
        "adv\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 83,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HGiUKAEdVvFv",
        "outputId": "3dba9df5-239b-4d8d-ff9a-740d0c444a83"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([13.55862413])"
            ]
          },
          "execution_count": 83,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "final_model.predict(adv)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 84,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fsOtkTmjV5S5",
        "outputId": "aff9ea5d-6443-4ebb-f8d6-de585be541fd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([ 0.04576465,  0.18853002, -0.00103749])"
            ]
          },
          "execution_count": 84,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "final_model.coef_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 85,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VMhOrrqnWfsC",
        "outputId": "d7209a7c-1c14-434f-8b1d-b0cc8a7bea1b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "13.558624130495994"
            ]
          },
          "execution_count": 85,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "sum(final_model.coef_ * [150, 20, 15]) + final_model.intercept_  "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 86,
      "metadata": {
        "id": "_yIacXtNWkbm"
      },
      "outputs": [],
      "source": [
        "adv_2 = [[150, 20, 15], [160, 20, 15]] "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 87,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "gvmIjhFrW5Dn",
        "outputId": "20d6a3cb-bfce-4d01-e246-6e18151b6c63"
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        {
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              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>TV</th>\n",
              "      <td>200.0</td>\n",
              "      <td>147.0425</td>\n",
              "      <td>85.854236</td>\n",
              "      <td>0.7</td>\n",
              "      <td>74.375</td>\n",
              "      <td>149.75</td>\n",
              "      <td>218.825</td>\n",
              "      <td>296.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>radio</th>\n",
              "      <td>200.0</td>\n",
              "      <td>23.2640</td>\n",
              "      <td>14.846809</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.975</td>\n",
              "      <td>22.90</td>\n",
              "      <td>36.525</td>\n",
              "      <td>49.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>newspaper</th>\n",
              "      <td>200.0</td>\n",
              "      <td>30.5540</td>\n",
              "      <td>21.778621</td>\n",
              "      <td>0.3</td>\n",
              "      <td>12.750</td>\n",
              "      <td>25.75</td>\n",
              "      <td>45.100</td>\n",
              "      <td>114.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sales</th>\n",
              "      <td>200.0</td>\n",
              "      <td>14.0225</td>\n",
              "      <td>5.217457</td>\n",
              "      <td>1.6</td>\n",
              "      <td>10.375</td>\n",
              "      <td>12.90</td>\n",
              "      <td>17.400</td>\n",
              "      <td>27.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           count      mean        std  min     25%     50%      75%    max\n",
              "TV         200.0  147.0425  85.854236  0.7  74.375  149.75  218.825  296.4\n",
              "radio      200.0   23.2640  14.846809  0.0   9.975   22.90   36.525   49.6\n",
              "newspaper  200.0   30.5540  21.778621  0.3  12.750   25.75   45.100  114.0\n",
              "sales      200.0   14.0225   5.217457  1.6  10.375   12.90   17.400   27.0"
            ]
          },
          "execution_count": 87,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.describe().T"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "tGP1JPygXjtm"
      },
      "outputs": [],
      "source": []
    }
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