rasbt/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
This resource provides practical guides and examples for understanding and applying various machine learning techniques. It helps you take raw data, transform it, and use it to build models that can classify items or make predictions. The content is designed for data scientists, analysts, and researchers who want to implement or learn about machine learning methods.
4,214 stars. No commits in the last 6 months.
Use this if you are a data professional looking for clear, practical examples and tutorials to apply machine learning, pattern classification, or data mining techniques to your datasets.
Not ideal if you are looking for a plug-and-play software tool or an advanced research library for cutting-edge machine learning development.
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Jupyter Notebook
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GPL-3.0
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Last pushed
Nov 26, 2023
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