Course Catalog
BAN 505 Predictive Analytics | 3 Credits | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
This course introduces basic concepts and models of supervised and unsupervised statistical learning models . The topics include, multiple regression, logistic regression, classfication, resampling methods, subset selection, the ridge, the lasso, tree-based methods, support vector machines, principal component analysis, and clustering. | |||||||||||||||||||
|
|||||||||||||||||||
Prerequisite: __ | |||||||||||||||||||
Corequisite: __ | |||||||||||||||||||
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) | |||||||||||||||||||
General Requirements: | |||||||||||||||||||