scikit-learn
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
# Install scikit-learn using uv
uv pip install scikit-learn
# Optional: Install visualization dependencies
uv pip install matplotlib seaborn
# Commonly used with
uv pip install pandas numpy
More from jackspace/claudeskillz
base-ui-react
|
202rapid-prototyper
Creates minimal working prototypes for quick idea validation. Single-file when possible, includes test data, ready to demo immediately. Use when user says "prototype", "MVP", "proof of concept", "quick demo".
180repository-analyzer
Analyzes codebases to generate comprehensive documentation including structure, languages, frameworks, dependencies, design patterns, and technical debt. Use when user says "analyze repository", "understand codebase", "document project", or when exploring unfamiliar code.
177hugo
|
119windows-expert
Expert guidance for Windows, PowerShell, WSL interop, and cross-platform development
119firecrawl-scraper
|
100