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scikit-learn

Self-hosted alternatives to scikit-learn

5 self-hosted AI Skills apps to use instead, best rated first.

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About scikit-learn

S

scikit-learn

Supports machine learning in Python with scikit-learn

scikit-learn is an agent skill for classical machine learning in Python with scikit-learn, covering classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation and production-ready pipelines. The skill targets scikit-learn 1.9.1, verified on Python 3.13. The release needs Python 3.11 or newer, and you should use the published wheels for your interpreter and platform. The bundled scripts and regression tests are runnable examples. Reference snippets that use caller-provided data or placeholders are adaptations, not complete programs. Install the PyPI package named scikit-learn, not the deprecated sklearn package on PyPI, and import it in code as sklearn. The install can include optional plotting utilities and the packages the bundled scripts need, such as matplotlib and pandas. Use it for tabular prediction and analysis work where a well-understood model with clean evaluation is the right tool. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 2,000 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.

View scikit-learnAll AI Skills apps
Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/scikit-learn