README.md

Machine Learning projects

Contents

1) Finding the importants of Advertisment in sales

A model to predict the importance of Advertisment in Sales.

Linear Regression is used for this prediction.
# Result
The score is 0.79. From this we can mainly understand that how a advertisement is impact on sales

2) Identify Breast cancer patients

A model for predicting a patient is malignant or non malignant.

Logistic Regression is used for this classification.
# Result
The accuracy of Logistic Regression model is 0.96

3) Identify Spam Mails

Built a spam identifier using TF-IDF and Logistic Regression.
  # Result
  For this we want to use Precision score. The Precision score of this Logistic Regression model is 0.99

4) Sentimental Analysis of Movies

Logistic Regression and TF-IDF is used for sentimental Analysis of movies.
 # Result
 The accuracy of this model is 0.63

Tools Used

1. Python
2. Scikit- learn
3. Pandas
4. Numpy
5. Matplotlib
6. Seaborn
7. Jupyter Notebook

Technologies Used

If you liked what you saw, want to have a chat with me about the portfolio, work opportunities or collabration, shoot an email at [email protected]