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k-dense-ai-scientific-agent-skills-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.

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Rank breakdown

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scored 40 of 149 sub-skills

Recency
10
Community
20
Composite
84
Resources
12
Structure
25
Documentation
17

Details

themeUtilitytools177 skills available
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