Scikit-Learn is a free, open-source machine learning library for Python that provides a wide range of algorithms for classification, regression, clustering, and more​.It offers simple, efficient tools for predictive data analysis and includes many built-in methods for data preprocessing, model selection, and evaluation. Notably, Scikit-Learn is built on NumPy and SciPy and is designed to interoperate with these libraries. For example, it implements algorithms such as support vector machines, random forests, and k-means clustering in a consistent interface​.Scikit-Learn’s ease of use and comprehensive documentation make it a popular choice for developing and benchmarking machine learning models in research and industry.