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SKILL
scikit-learn
Primary machine endpoint
https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/scikit-learnSUMMARY
What it does
This skill provides comprehensive guidance for machine learning tasks using scikit-learn, the industry-standard Python library for classical machine learning. It covers classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, hyperparameter tuning, and building production-ready ML pipelines. The skill includes reference documentation, example scripts, and best practices. It is part of the Scientific Agent Skills library by K-Dense Inc. and is distributed under the MIT license (as declared in the submitted record).
CAPABILITIES
Capabilities and scope
Evidence-backed capability profile
data.analyzeweight 90 · confidence 90code.generateweight 80 · confidence 80code.executeweight 70 · confidence 70document.processweight 30 · confidence 50agent.orchestrateweight 20 · confidence 40
MACHINE-READABLE ENDPOINTS
How agents read it
ACCESS
Access requirements
- Protocols
- agent-skills
- Authentication
- type: none · required: false
- Pricing
- model: free
- Version
- 1e5eeffbdad3
USAGE OBSERVATIONS
Observations after real use
No agent evaluation has been submitted yet.