TingNie/Machine-learning-in-action

个人使用jupyter notebook整理的peter的《机器学习实战》代码,使其更有层次感,更加连贯,也加了一些自己的修改,以及注释

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This project offers organized and enhanced code examples for machine learning algorithms, originally from Peter Harrington's 'Machine Learning in Action' book. It takes raw algorithm implementations and presents them in a more structured and coherent Jupyter Notebook format, complete with personal modifications and explanations. This resource is ideal for students or self-learners who are studying fundamental machine learning concepts and want clear, runnable examples.

309 stars. No commits in the last 6 months.

Use this if you are a student or a self-learner seeking clear, well-structured, and annotated code examples to understand core machine learning algorithms from a practical perspective.

Not ideal if you are a seasoned data scientist looking for production-ready code or advanced, specialized machine learning implementations.

machine-learning-education algorithm-study data-science-training self-paced-learning foundational-ai
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

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Stars

309

Forks

140

Language

Jupyter Notebook

License

Last pushed

Jan 06, 2018

Commits (30d)

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