whatiskeptiname/HOML-Notes

Hands-on Machine Learning with Scikit-Learn and Tensorflow 2nd edition notes along with code.

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This collection of notes and code helps you understand and apply machine learning concepts using popular tools. It provides detailed explanations of ML theories alongside executable code examples. If you are learning machine learning, this resource allows you to follow along with a leading textbook and immediately experiment with practical implementations.

No commits in the last 6 months.

Use this if you are studying machine learning and want to run practical code examples while learning from a comprehensive textbook.

Not ideal if you are looking for an introduction to machine learning for absolute beginners, as it assumes some foundational knowledge and skips initial theoretical chapters.

machine-learning-education data-science-training AI-learning scikit-learn tensorflow
No License Stale 6m No Package No Dependents
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Adoption 5 / 25
Maturity 8 / 25
Community 11 / 25

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Jupyter Notebook

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Last pushed

Nov 16, 2021

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