This repository contains a collection of notebooks and scripts developed during the AI Middle Level Class. The files cover diverse topics, including machine learning, deep learning, and data analysis.
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20231103_wine_early_stopping_weight_biases.ipynb: Notebook exploring wine classification with early stopping and weight/biases analysis.
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231031 AI middle class.ipynb: Notebook from the class held on October 31, 2023.
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231101 AI middle class-wine.ipynb: Notebook from the class on November 1, 2023, focusing on wine-related analysis.
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231101_stone_k_fold.ipynb: Notebook from the same class, focusing on k-fold validation with stone data.
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231107_house_predict.py: Python script for house prediction.
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231108_origin_house_predict.py: Original version of the house prediction script.
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231109_Creating_a_covariance_matrix.ipynb: Notebook explaining the creation of a covariance matrix.
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231110_from tensorflow import keras.py: Python script importing Keras from TensorFlow.
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README.md: This file, providing an overview of the repository.
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stone_train_test_split.py: Python script for train-test splitting with stone data.
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wd5_tensor2.py: Python script from the AI middle level class.
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wd6_pandas.py: Python script covering pandas usage from the AI middle level class.
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wd7_iris.py: Python script related to iris data from the AI middle level class.
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wd7_sonar.py: Python script for sonar data from the AI middle level class.
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weekdays1_iris.py: Python script related to iris data from the weekdays session.
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weekdays2_image1.py: Python script related to image data from the weekdays session.
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weekdays3_perceptron.py: Python script covering perceptron from the weekdays session.
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weekdays4_tensor.py: Python script related to TensorFlow from the weekdays session.
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wine_validation_ver.py: Python script for wine validation.
Feel free to explore these files to enhance your understanding of AI concepts and practical implementations.