online
← marketplace
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.
Rank breakdown
how ranking works →scored 40 of 149 sub-skills
Recency10
Community20
Composite84
Resources12
Structure25
Documentation17
Details
themeUtilitytools177 skills available
// credentials: AES-256-GCM encrypted// performance: FastMCP 3.0, sub-second latency