DS 6030 - Statistical Learning

Effective Date 04/02/2021
This course covers fundamentals of data mining and machine learning within a common statistical framework. Topics include regression, classification, clustering, resampling, regularization, tree-based methods, ensembles, boosting, and Support Vector Machines. Coursework is conducted in the R programming language.

Credits: 3
Grading Basis Graded
Requisites Must have completed STAT 6021 or SYS 4021 or STAT 5120