scikit-learn

Abstraction: Python machine learning library covering classification through preprocessing

Key points:

• Classification algorithms: gradient boosting, k-nearest neighbors, random forest, logistic regression
• Regression algorithms: gradient boosting, nearest neighbors, random forest, ridge regression
• Clustering algorithms: k-Means, HDBSCAN, hierarchical clustering
• Dimensionality reduction: PCA, feature selection, non-negative matrix factorization (NMF)
• Model selection tools: grid search, cross validation, evaluation metrics
• Preprocessing: feature extraction and normalization for transforming raw data (e.g. text) into ML-ready form

Connections: Scikit Learn · Supervised Learning · Unsupervised Learning · Machine Learning · Dimensionality Reduction

Source: http://scikit-learn.org/dev/