Handson Ml
Handson Ml is the official code repository for the first edition of the book 'Hands-On Machine Learning with Scikit-Learn and TensorFlow' by Aurélien Géron. It contains a comprehensive set of Jupyter notebooks that cover fundamental machine learning concepts, including classification, regression, support vector machines, decision trees, ensemble methods, dimensionality reduction, and an introduction to neural networks with TensorFlow. The repository is now deprecated and should not be used for new learning; users are directed to the newer repositories handson-ml3 and handson-mlp for updated content.
- Category
- AI/ML
- Pricing
- Open Source
Problem solved
It provides a practical, code-driven complement to the textbook, allowing readers to experiment with and understand machine learning algorithms by running the same examples used in the book.
Use cases
- Learning machine learning fundamentals through runnable code examples
- Following along with the book's chapters and exercises
- Reviewing deprecated code for historical reference
- Migrating to the newer handson-ml3 or handson-mlp repositories
Audience
- Developers
- ML Engineers
- Data Scientists
- Researchers
- Hobbyists
Pros
- Comprehensive coverage of classic ML algorithms
- Well-structured Jupyter notebooks
- Authored by a recognized expert in the field
- Useful for historical reference
Cons
- Deprecated and not updated
- Uses outdated libraries (e.g., early TensorFlow versions)
- Superseded by newer editions
- No active maintenance or support
Official website: https://github.com/ageron/handson-ml
Canonical LambdaBase page: https://www.lambdabase.com/tools/handson-ml