scikit-learn

scikit-learn is an open-source machine learning library for the Python programming language. It features various classification, regression, and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and DBSCAN. The library is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. It provides tools for model selection, preprocessing, and evaluation, making it a comprehensive framework for building and assessing machine learning models. scikit-learn is widely used in academic research, industry, and data science competitions due to its consistent API, extensive documentation, and active community.