sklearn.svm

sklearn.svm is a module in the scikit-learn library that provides implementation of Support Vector Machines (SVMs). SVMs are a powerful class of supervised learning algorithms that can be used for classification, regression, and outlier detection. The module provides several SVM models, including Linear SVM, Polynomial SVM, Radial Basis Function (RBF) SVM, and Nu-Support Vector Classification (Nu-SVC). It also provides various options for hyperparameter tuning, kernel selection, and regularization. SVMs are widely used in various fields, including image classification, text classification, and bioinformatics.