Scikit-learn
Machine learning library with tools for classification, regression, clustering, and dimensionality reduction
Visit Scikit-learn →Scikit-learn covers classical machine learning — regression, classification, clustering, dimensionality reduction — through one consistent API (fit, predict, transform) across every algorithm it implements, which is the main reason it’s still the standard starting point even as deep-learning-specific frameworks have grown. It’s not for training neural networks; see PyTorch for that.
Built to work directly with NumPy arrays and Pandas DataFrames, so it slots into an existing data pipeline rather than requiring its own data format.