The course addresses practices related to predictive modeling (decision tree, regression,
neural network, ensemble and boosting models, among others). Topics include modifying
data for better analysis results, model training and testing, machine learning methods,
comparing and explaining complex models, generating predictions, and communicating
results to help make better business decisions. This course is open only to MS students
in Business Analytics. Prerequisite: BANA 6350, BANA 6H30.