scikit-learn

Features and purpose

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.