rickiepark/intro_ml_with_python_2nd_revised

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This project provides practical, hands-on code examples and Jupyter notebooks for learning machine learning concepts. It's designed to accompany the book "Introduction to Machine Learning with Python (2nd Revised Edition)", offering ready-to-use code snippets and datasets from the book. Data scientists, analysts, or anyone looking to implement machine learning models using Python and scikit-learn would find this useful.

Use this if you are reading "Introduction to Machine Learning with Python (2nd Revised Edition)" and want to run the code examples from the book directly, modify them, or experiment with the datasets.

Not ideal if you are looking for a standalone machine learning library or a tool for deploying production models, as this is primarily an educational resource for learning.

machine-learning-education data-science-training scikit-learn-practice python-for-ml model-building-examples
No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 21 / 25

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58

Forks

40

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 27, 2026

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