EXST 4142 Introduction to R and Statistical Data Mining (3)

Prereq.: EXST 3201 or ECON 4630 or Permission of Instructor. Introduction to R and advanced statistics for data mining, machine learning, and predictive analytics; topics include shrinkage methods in linear models; generalized linear models; cross-validation; decision trees; bagging and random forest; principal components analysis; cluster analysis and association rules mining.