rasbt/pattern_classification
A collection of Jupyter Notebook tutorials and examples for learning machine learning and pattern classification using scikit-learn.

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This repository provides educational material for understanding and implementing machine learning algorithms. It covers supervised learning, neural networks, clustering, ensemble methods, and statistical pattern classification through IPython notebooks. The content uses Python scientific packages including scikit-learn to demonstrate ML concepts and workflows.