DS 6400 - Machine Learning I: Introduction

Effective Date 08/01/2022
Introduction to regression modeling. Topics will be discussed first in the context of linear regression, and then revisited in the context of logistic regression, ordinal regression, proportional hazards regression, and random forests. Students will be required to fit the models (both MLE and Bayesian) and use the strategies discussed in class.

Credits: 3
Grading Basis Graded