Rare find

Machine Learning with PyTorch and Scikit-Learn. Code examples and notebooks from a 770-page book teaching machine learning with two popular tools.

sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn

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Updates

June 2026
  • Merge pull request #242 from asadiv/patch-1
  • Fix typo in kernel parameter for SVC from 'rbg' to 'rbf'
May 2026
  • Merge pull request #226 from fatinshariff/fix-feature-names-ch03
  • Add ch07 logistic loss erratum
  • Add LDA entry
  • ch05 errata entry
  • Merge pull request #120 from Meruem10/bugfix-ch4
  • Merge branch 'main' into fix-feature-names-ch03
  • Merge pull request #241 from tkieft/fix_ch03_logistic_loss
  • update errata
April 2026
  • Fix loss calculation in LogisticRegressionGD
January 2026
  • yearly update
May 2025
  • Fix feature_names to match selected features in ch03.ipynb
  • Fix feature_names to match selected features in ch03.ipynb
March 2025
  • Page 432
  • Page 423 note
February 2025
  • Merge pull request #211 from rasbt/rasbt-patch-1
  • Update README.md
January 2025
  • Merge pull request #209 from rasbt/rasbt-patch-1
  • Update README.md
February 2022
  • Release —v1.1
January 2022
  • Release —v1.0