DATA 541 Advanced Estimation Methods

Predictive modeling methods for continuous response variables. Focus on feature selection and building and validating predictive models based on regularized regression approaches. Topics may include: multiple regression, partial least-squares regression, ridge regression, lasso, elastic net, least-angle regression, random forests for regression, and support vector machines for regression.

Credits

4

Prerequisite

DATA 512 or permission of department chair.

General Education

Offered

• Fall
• On Demand

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