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imbalanced-learn
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
★7.1kstars
Python
MIT
Updated: 1w ago
📋 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: data-analysis/data-science
Who made it?Maintained by scikit-learn-contrib team, 7.1K⭐ on GitHub, #270 out of 3133 in Data & Infrastructure
Why does it exist?With the growing demand for data-analysis and data-science in Data & Infrastructure, scikit-learn-contrib created imbalanced-learn as a streamlined solution.
What can it do?Key use cases: machine-learning, statistics
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/scikit-learn-contrib/imbalanced-learn | 官网 https://imbalanced-learn.org
🔗 github.com/scikit-learn-contrib/imbalanced-learn | 官网 https://imbalanced-learn.org
Topics
data-analysisdata-sciencemachine-learningpythonstatistics