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SKILL

scikit-learn

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/scikit-learn
Use with an agent

SUMMARY

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.