Texas A&M University 1-4 credit ANLY
Application and validation of linear and logistic regression in machine learning; regression visualization; identification of outliers; identification of model shortcomings; missing value imputation; data transformations; making valid inferences and drawing business conclusions to recommend business actions on basis of fitted models. Prerequisites: Enrollment in Masters of Science in Analytics.
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