Description
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.…
Highlights
- Classification and regression
- Clustering and dimensionality reduction
- Preprocessing and model evaluation
- Production-ready pipelines
- Targets scikit-learn 1.9.1
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scikit-learn FAQ
What does scikit-learn cover?
Classification, regression, clustering, dimensionality reduction, preprocessing, evaluation and pipelines.
Which package should I install?
The PyPI package scikit-learn. The skill warns that the sklearn name on PyPI is deprecated.
Which Python version?
Python 3.11 or newer for scikit-learn 1.9.1, which was verified on Python 3.13.
Are the code snippets runnable?
The bundled scripts and tests are. Snippets with placeholders are adaptations you need to complete.
How do I install it?
Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill scikit-learn.
Is it checked for security?
Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.
What are the best scikit-learn alternatives?
Popular alternatives to scikit-learn include aeon, pytorch-patterns and esm. See all scikit-learn alternatives