Introduction to Data Analytics ((3 Credits))

Catalog description

Introductory-level course in statistical learning with a focus on regression and classification methods. Course covers: linear and polynomial regression, logistic regression, cross validation, model selection and regularization methods; tree-based methods, random forests and boosting. Some unsupervised learning methods are introduced, principal component and clustering. Three hours of lecture per week.