Publisher / original source: scikit-learn developers
Official source:
- https://scikit-learn.org/stable/user_guide.html
- https://scikit-learn.org/stable/getting_started.html
- https://scikit-learn.org/stable/api/index.html
- https://scikit-learn.org/stable/auto_examples/index.html
Resource type: Link-only reference
Local copy: No
Reason for inclusion:
scikit-learn is relevant for practical machine learning workflows in Python, including preprocessing, model training, model evaluation, classification, regression, clustering and simple reproducible ML baselines.
This reference supports learning around applied machine learning in data analysis projects, including interpretable models such as logistic regression.
Reason for link-only:
scikit-learn documentation is dynamic project documentation. A local copy would become outdated over time and should not be mirrored in this repository.
Review date: 2026-06-13