scikit-learn
Edward-H26/OnePromptClaudeCodeMachine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering,…
Scores out of 100 · grade B+
2026-08-18Works
40% of the score100/100
- Loads cleanly: valid frontmatter, required fields present, no dangling references.
Maintained
25% of the score92/100
- no commits in the last 12 weeks
Adopted
20% of the score12/100
- 6 stars on the source repo.
Documented
15% of the score100/100
- 1,630 words with worked examples.
- Ships 8 bundled files.
Install
npx skills add Edward-H26/OnePromptClaudeCode/scikit-learnWhat it says it does
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.
Also in Edward-H26/OnePromptClaudeCode
| Artifact | Score | What the check found | Type | Reach | Last commit |
|---|---|---|---|---|---|
| paper-spine-researchEdward-H26/OnePromptClaudeCode | clean | Skill | 6 stars | 8 days ago | |
| exploratory-data-analysisEdward-H26/OnePromptClaudeCode | clean | Skill | 6 stars | 8 days ago | |
| matplotlibEdward-H26/OnePromptClaudeCode | clean | Skill | 6 stars | 8 days ago | |
| pymooEdward-H26/OnePromptClaudeCode | clean | Skill | 6 stars | 8 days ago | |
| scientific-visualizationEdward-H26/OnePromptClaudeCode | clean | Skill | 6 stars | 8 days ago | |
| simpyEdward-H26/OnePromptClaudeCode | clean | Skill | 6 stars | 8 days ago |
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