Adopt
scikit-learn is an open-source machine learning library for the Python programming language. It provides simple and efficient tools for data mining and data analysis, built on top of NumPy, SciPy, and Matplotlib. It features various classification, regression, and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and DBSCAN. It also provides tools for model selection, preprocessing, feature engineering, dimensionality reduction, and evaluation. scikit-learn is widely used by data scientists, machine learning engineers, and researchers to build and deploy machine learning models for various applications, such as predictive modeling, recommendation systems, anomaly detection, and more.