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scikit-learn

Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines.

Skill by brycewang-stanford

IndexedNOASSERTION★ 4,757
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/brycewang-stanford-scikit-learn

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines. For unsupervised analysis, classification, or prediction. For econometric regression use pyfixest/statsmodels.

Use cases: ml

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/scikit-learn

What's inside

Skill name
scikit-learn
Description
Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines. For unsupervised analysis, classification, or prediction. For econometric regression use pyfixest/statsmodels.
License
NOASSERTION
Metadata
domain: python-library · audience: research-coders · library-version: 1.8.0 · skill-last-updated: 2026-03-28
Instructions
326 lines in SKILL.md · view on GitHub

Files (15)

  • SKILL.md
  • classification.md · references/
  • clustering.md · references/
  • decomposition.md · references/
  • evaluation-supervised.md · references/
  • evaluation-unsupervised.md · references/
  • fairness.md · references/
  • feature-selection.md · references/
  • gotchas.md · references/
  • interpretation.md · references/
  • manifold.md · references/
  • mixture-models.md · references/
  • preprocessing.md · references/
  • quickstart.md · references/
  • regression-ml.md · references/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from brycewang-stanford/Auto-Empirical-Research-Skills

Signals

Stars
4,757
Forks
556
Open issues
1
Last commit (this folder)
Apr 3, 2026 (6 months ago)
Last release
Jul 2, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
NOASSERTION
Repository
github.com/brycewang-stanford/Auto-Empirical-Research-Skills
Website
copaper.ai
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from brycewang-stanford

Cite this page

scikit-learn skill. Agent Mart. https://agentmart.dev/skills/brycewang-stanford-scikit-learn (last updated 2026-10-24)