scikit-learn
This skill provides detailed guidance for using scikit-learn, covering classification, regression, clustering, and preprocessing. It includes practical code examples, algorithm selection tables, and warnings about common mistakes like data leakage. The documentation helps users build ML pipelines and evaluate models effectively.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install k-dense-ai-claude-scientific-skills-scikit-learn
Repository
Skill path: scientific-skills/scikit-learn
This skill provides detailed guidance for using scikit-learn, covering classification, regression, clustering, and preprocessing. It includes practical code examples, algorithm selection tables, and warnings about common mistakes like data leakage. The documentation helps users build ML pipelines and evaluate models effectively.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install scikit-learn into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/K-Dense-AI/claude-scientific-skills before adding scikit-learn to shared team environments
- Use scikit-learn for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.