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mlxtend
rasbt/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
★5.2kstars
Python
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Updated: Today
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Data & Infrastructure category, core strengths: association-rules/data-mining
Who made it?Maintained by rasbt team, 5.2K⭐ on GitHub, #351 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the rasbt team identified the need for better association-rules solutions. mlxtend was created to simplify data-mining workflows.
What can it do?Key use cases: data-science, machine-learning, supervised-learning
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/rasbt/mlxtend | 官网 https://rasbt.github.io/mlxtend/
🔗 github.com/rasbt/mlxtend | 官网 https://rasbt.github.io/mlxtend/
Topics
association-rulesdata-miningdata-sciencemachine-learningpythonsupervised-learningunsupervised-learning