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developer-roadmap/roadmaps/python-data-analysis/content/scikit-learn@npndQC8OIfP1wwn_iswPy.md
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Arik Chakma 274082fd77 feat: clean roadmap content and sync scripts (#10181)
* refactor: clean to roadmap content

* refactor: move shared helpers into scripts/lib
2026-07-28 05:45:17 +06:00

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# Scikit-learn
Scikit-learn is the standard machine learning library for Python. It provides a consistent API for classification, regression, clustering, dimensionality reduction, model selection, and preprocessing. Models are trained with `.fit()`, used to predict with `.predict()`, and evaluated with a suite of metrics. Scikit-learn also provides tools for pipelines, cross-validation, and hyperparameter tuning.
Visit the following resources to learn more:
- [@article@Scikit-learn](https://scikit-learn.org/stable/)
- [@video@Scikit-learn Crash Course - Machine Learning Library for Python](https://www.youtube.com/watch?v=0B5eIE_1vpU)