Support Vector Machines
Support Vector Machines are supervised learning models used for classification and regression analysis. They work by finding the optimal hyperplane that best separates different classes in a high-dimensional space. Support Vector Machines are effective for handling high-dimensional data and can handle non-linear relationships by using kernel functions. These models are widely used in various fields such as image recognition, text classification, and bioinformatics.