STA 328 - Predictive Modeling

Credit(s): 3

A broad overview of various statistical methods with an emphasis in predictive modeling and R programming. Topics can include statistical learning, classification, advanced feature selection methods, bootstrap, cross validation, tree algorithms, unsupervised learning, and Bayesian concepts.
Prerequisite(s): STA 320