A 25,000-star time capsule from the first Hands-On ML era

What it does This repository contains the Jupyter notebooks and exercise solutions for the first edition of the O’Reilly book Hands-On Machine Learning with Scikit-Learn and TensorFlow, published in 2017. It teaches machine learning fundamentals in Python through Scikit-Learn and TensorFlow examples. The author has since deprecated the project and now points visitors to a third edition and a PyTorch-based alternative.

The interesting bit With over 25,000 stars, this repo is essentially a well-preserved museum piece from 2017. The author has plastered it with clear deprecation warnings and direct links to modern successors, which is a refreshing level of honesty for a legacy project.

Key highlights

• Complete example code and exercise solutions for the 2017 first edition
• Covers Scikit-Learn and TensorFlow workflows
• Runnable in temporary cloud environments including Colaboratory, Binder, and Deepnote
• Explicitly deprecated by the author with links to the third edition and PyTorch version

Caveats

• Explicitly deprecated; the author recommends the third edition or PyTorch version instead
• Targets the 2017 first edition, so expect dated APIs and library versions
• The FAQ still warns about Python 3.8 and 3.9 compatibility, underscoring how long it has been frozen

Verdict Worth a look only if you are specifically working through the first edition of the book or studying 2017-era ML code. Everyone else should follow the author’s own advice and head to the newer editions.