STT 812 taught by Paul Harrison Speaker (Course & Instructor) - 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.
STT 812 / Paul Harrison Speaker - All Semesters
Average Grade - 3.685
Median Grade - 4.0
Latest grades from Spring 2026
STT 812 / Paul Harrison Speaker - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Spring 2026 | Average Grade - 3.393 Median Grade - 4.0 |
14 |
| Spring 2024 | Average Grade - 4.000 Median Grade - 4.0 |
13 |
Back to Overview for STT 812 / Paul Harrison Speaker
Spring 2026
Average Grade - 3.393
Median Grade - 4.0
Back to Overview for STT 812 / Paul Harrison Speaker
Spring 2024
Average Grade - 4.000
Median Grade - 4.0