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STT 812 (Course) - Grade Details

(with breakdown by semester)

Course Title: Statistical Learning and Data Analysis

Course Description: Low dimensional data visualization. Linear Regression. Binary Regression. Linear discriminant analysis. Probabilistic classification. Model selection via regularization. LASSO. Non-parametric smoothing. CART. MART. Support vector machine. Neural network. Clustering. Random forest.


Spring 2024

Average Grade - 4.000
Median Grade - 4.0
13 total students


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