STAT 46400 - Data Mining And Statistical Learning

Prerequisite(s): STAT 43000 FOR LEVEL UG WITH MIN. GRADE OF C-

Credit Hours: 3.00. This is an introductory course in data science with a major focus in statistical learning. This course introduces methodology, software tools, and real-life applications in data mining. It covers supervised learning methods including ridge regression, the lasso and elastic net regression, regression splines, principal component regression, resampling methods, classification, tree-based methods, support vector-machines and unsupervised learning methods including principal component analysis and clustering.

View Class Schedule