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DSC 382 DSCĀ 382. Foundations of Regression and Predictive Modeling. 3 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. Offered on the letter-grade basis only. Prerequisite: Graduate standing and Data Science 381.