Learning scikit-learn library fundamentals

What scikit-learn is and its purpose

scikit-learn (formerly scikits.learn, also known as sklearn) is a free, open-source machine learning library for the Python programming language. Its purpose is to provide a practical toolkit for building machine learning models, including algorithms for classification, regression, and clustering, along with tools for preparing data and selecting/tuning models. It is designed to work smoothly with the Python scientific computing ecosystem—especially NumPy and SciPy—so users can integrate machine learning workflows with common data analysis and visualization tools. scikit-learn also emphasizes a consistent API (for example, using methods like fit() and predict()) and supports structured workflows through tools such as Pipelines, which combine preprocessing and model training in a clear, repeatable way.

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Core machine learning tasks supported

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