MULTIPLE REGRESSION AND GENERALIZED LINEAR MODELS WITH MATLAB. REGRESSION LEARNER AND CLASSIFICATION LEARNER

In this book MATLAB's machine learning tools are used for regression and classification. the Regression Learner app train models to predict continuous data using supervised machine learning. Automatically train a selection of models and help you choose the best model. Model types include linear regression models, regression trees, gaussian process regression models, support vector machines, and ensembles of regression trees. The Classification Learner app train models to classify data using supervised learning techniques. Model types include generalized linear models, logistic regression, probabilistic regression, Poisson regression, negative binomial regression, decision trees, discriminant analysis, support vector machines, nearest neighbors, and ensemble classifications. Specially, we will go deeper into the Linear Model Regression, Robust Regression, Generalized Linear Models and Neural Networks Regression. Variety of examples are solved using the MATLAB software.