STT 873 (Course) - Grade Details
(with breakdown by instructor)
Course Title: Statistical Learning and Data Mining
Course Description: Statistical methods focusing on machine learning and data mining, modern regression and classification techniques, support vector machines, boosting, kernel methods and ensemble methods, clustering dimension reduction, manifold learning, and selected topics.
STT 873 - All Instructors
Average Grade - 3.830
Median Grade - 4.0
Latest grades from Fall 2021
STT 873 - Overview
| Instructor | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| Lyudmila Sakhanenko | Average Grade - 3.654 Median Grade - 4.0 |
13 | Fall 2015 | |
| Yuying Xie | Average Grade - 3.941 Median Grade - 4.0 |
17 | Fall 2017 | |
| Huan Lei | Average Grade - 3.848 Median Grade - 4.0 |
23 | Fall 2021 |
Huan Lei
Average Grade - 3.848
Median Grade - 4.0
Latest grades from Fall 2021
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Lyudmila Sakhanenko
Average Grade - 3.654
Median Grade - 4.0
Latest grades from Fall 2015
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Yuying Xie
Average Grade - 3.941
Median Grade - 4.0
Latest grades from Fall 2017
See detailed grade info for this instructor