LEARNING · AURÉLIEN GÉRON / GITHUB

Hands-On Machine Learning (3rd Edition) Interactive GitHub & Colab Track

Effort: Low · OCTOBER 11, 2026

Free companion resource

Official, complete repository of runnable Jupyter and Google Colab notebooks for Géron's 3rd edition book covering Scikit-Learn, Keras, and TensorFlow.

Why youProvides zero-setup, free cloud GPU execution directly in Colab for your daily October ML book study, exercises, and practice quizzes.

Aurélien Géron's 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow' (3rd Edition) is the primary textbook for mastering practical production machine learning. The author maintains an open-source companion repository containing every chapter's code, figures, exercises, and solutions.

Every chapter notebook includes one-click 'Open in Colab' badges, allowing you to run and modify code on Google's cloud infrastructure with free GPU/TPU acceleration. This eliminates local Python environment conflicts or dependency headaches on your workstation.

The repository covers foundational linear models, decision trees, ensemble learning, neural networks, computer vision, and transformers, pairing theoretical reading with working implementations.

Key insights

Use Colab cloud execution to save storage space and preserve system cleanliness on your local machine.
Work through the end-of-chapter exercises actively before reviewing the solutions in the notebook.
Star the repository and fork it to your GitHub profile to showcase your ongoing hands-on machine learning practice.

Open source page → GitHub Repository → O'Reilly Book Companion →