Data Mining for Business Analytics. (3-0) 3 Credit Hours

Catalog description

Prerequisite: A grade of "C-" or better in BAN 3073 and BAN 3083 , or their equivalents, or approval of the instructor. This course provides an introduction to machine learning algorithms with applications. Topics include supervised and unsupervised learning methods, resampling methods, model selection, generalized additive model, classification and regression tree methods, k-nearest neighbors, bagging and random forest, support vector machines, social network analysis, and text mining. (Formerly MS 4373. Credit cannot be earned for both MS 4373 and BAN 4373 . Formerly titled "Knowledge Discovery for Business Analytics.") This course has Differential Tuition. Course Fee: DL01 $75.