Individual skill
scikit-learn
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.
backend/cli/skills/coding/scikit-learn/SKILL.md
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- agent Repository topic
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- bun Repository topic
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- machine-learning Declared skill tag
- classification Declared skill tag
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# Scikit-learn
## Overview
This skill provides comprehensive guidance for machine learning tasks using scikit-learn, the industry-standard Python library for classical machine learning. Use this skill for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building production-ready ML pipelines.
## Installation
```bash
# Install scikit-learn using uv
uv uv pip install scikit-learn
# Optional: Install visualization dependencies
uv uv pip install matplotlib seaborn