DS 6030

Statistical Learning

Course Description

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.


  • Michael Porter

     Rating

     Difficulty

     GPA

    3.96

     Sections

    1

    Last Taught

    Fall 2024