rasbt/python-machine-learning-book-2nd-edition resource

Health v2 · maintenance only

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7201 stars · 2790 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The official code repository for the book 'Python Machine Learning (2nd edition)', containing Jupyter notebooks and Python scripts for each chapter. It covers machine learning and deep learning topics using scikit-learn and TensorFlow.

Use cases

• learn machine learning with python from scratch
• find code examples for scikit-learn classifiers
• study deep learning with tensorflow notebooks
• follow along with a machine learning book chapter by chapter
• learn data preprocessing and model evaluation techniques
• understand dimensionality reduction with worked examples

When to choose

• you are reading or own the 2nd edition of the book and want its companion code
• you prefer learning via stepwise-executable Jupyter notebooks
• you want MIT-licensed example code covering classic ML through TensorFlow

When to avoid

• you want the latest content - the 3rd edition repository supersedes this one
• you need production-ready machine learning code rather than educational examples
• you expect the notebooks to be fully self-contained without the book's text

Facets

learning-resource · maturity maintenance

machine-learning deep-learning data-science machine-learning deep-learning data-science tutorials python cross-platform jupyter-notebooks scikit-learn tensorflow book-code superseded

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