DSC X82 DSC 382 Foundations of Regression and Predictive Modeling 3 Hours
3 Lecture Hours 0 Lab Hours
Introduction to the basics of regression-based modeling. Explore simple and multiple regression, interpretation of models and coefficients, prediction and estimates, regularization processes, and generalized linear models. The equivalent of three lecture hours a week for one semester.
Pre/Corequisites: Graduate standing and Data Science 381.
Grading: Student Option
Repeatable for credit: No
Academic Level: Master's