ageron/handson-mlp resource

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1917 stars · 607 forks observed · 2026-08-28

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

A collection of Jupyter notebooks teaching machine learning and deep learning fundamentals in Python using Scikit-Learn, PyTorch, and Hugging Face. It serves as the companion code and exercise solutions for the O'Reilly book 'Hands-on Machine Learning with Scikit-Learn and PyTorch'.

Use cases

• learn machine learning fundamentals in python
• learn deep learning with pytorch
• find exercises and solutions for hands-on ml book
• get started with scikit-learn and hugging face
• run ml tutorials in colab
• study neural networks with worked notebooks

When to choose

• you want a structured, book-backed path from ML basics to deep learning
• you prefer learning through runnable Jupyter notebooks with exercises
• you want to learn PyTorch and Hugging Face after knowing scikit-learn

When to avoid

• you need production-ready ML code or a library to import
• you want the TensorFlow/Keras edition of the book (use ageron/handson-ml3)
• you need a course with videos or graded assignments

Facets

learning-resource · maturity active

machine-learning deep-learning data-science machine-learning deep-learning tutorials education python cross-platform jupyter-notebooks scikit-learn pytorch hugging-face oreilly-book-companion hands-on-exercises

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