alicezheng/feature-engineering-book resource

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1493 stars · 672 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Companion code repository for the O'Reilly book 'Feature Engineering for Machine Learning' by Alice Zheng and Amanda Casari (2018). It contains Jupyter Notebook examples demonstrating feature engineering techniques, though the datasets must be downloaded separately via URLs in the book.

Use cases

• learn feature engineering for machine learning
• find example notebooks on feature extraction and representation
• study numeric and categorical feature encoding techniques
• supplement reading the Feature Engineering for ML book with runnable code
• explore text and NLP feature engineering examples

When to choose

• you are reading the book and want the accompanying code
• you want hands-on Jupyter examples of feature engineering concepts

When to avoid

• you need a production feature engineering library or pipeline tool
• you expect bundled datasets - data must be sourced separately
• you want actively updated content - the repo mirrors a 2018 book

Facets

learning-resource · maturity maintenance

machine-learning data-science machine-learning data-science tutorials python feature-engineering jupyter-notebooks book-companion oreilly

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