MSBA 8170 - Machine Learning I

This course builds on the basic statistics course and moves quickly into applying these techniques towards understanding patterns in our data. R and Python are the primary tools used, and topics include an overview of regression analysis (including logistic, OLS, Poisson, and nonlinear models), supervised and unsupervised machine learning, data partitioning, and principal component analysis.

Prerequisites: MSBA 8100 and MSBA 8140

Credits: 4