Scikit-learn is a free and open-source machine learning library for Python that offers a wide range of algorithms for classification, regression, and clustering. It supports methods such as support-vector machines, random forests, gradient boosting, k-means, and DBSCAN. The library is built on top of NumPy and SciPy for numerical operations and array handling, with some core algorithms implemented in Cython to enhance performance.