rasbt/machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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This repository provides the code examples that accompany the book *Machine Learning with PyTorch and Scikit-Learn*. It helps aspiring machine learning practitioners or data scientists learn various machine learning concepts, from basic classification to advanced deep learning architectures. It takes the theoretical knowledge from the book and provides runnable code in Python, showing how to implement these concepts using Scikit-Learn and PyTorch.

5,042 stars.

Use this if you are reading *Machine Learning with PyTorch and Scikit-Learn* and want to run the code examples from the book on your own machine or in Google Colab.

Not ideal if you are looking for a standalone machine learning project or a comprehensive guide without the accompanying textbook, as these notebooks are designed to supplement the book's descriptive text.

machine-learning-education data-science-training deep-learning-practice predictive-modeling neural-networks
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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5,042

Forks

1,777

Language

Jupyter Notebook

License

MIT

Last pushed

Jan 02, 2026

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