The repository contains notebooks of examples and code solutions (some notebooks have excercise answers) for all chapters of the book Hands On Machine Learning with ScikitLearn Keras and Tensorflow

This project aims at studying the fundamentals of Machine Learning in python. It contains the example code and solutions to the exercises in the second edition of the O'Reilly book Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow

View the index to follow the structure of the books and have a concise view of the learning path of Machine Learning.

Use any of the following services (I recommended Colab or Kaggle, since they offer free GPUs and TPUs).

WARNING: Please be aware that these services provide temporary environments: anything you do will be deleted after a while, so make sure you download any data you care about.

Refer to the installation to install the project and set up the environment for studying Machine Learning.

The project is under the MIT license