STAT-4654: Intermediate Data Analytics and Machine Learning
Description: A technical analytics course. Covers supervised and unsupervised learning strategies, including regression, generalized linear models, regularization, dimension reduction methods, tree-based methods for classification, and clustering. Upper-level analytical methods shown in practice: e.g., advanced naive Bayes and neural networks.
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 4
Average GPA: 3.10 (B+)
Strict A Rate (No A-) : 45.00%
Average Withdrawal Rate: 7.14%
| Eric P Smith | 2015 | 80.0% | 20.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.68 | 1 |
| Jyotishka Datta | 2022 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 4.00 | 1 |
| Tajbakhsh Sam Davanloo | 2016 | 20.0% | 40.0% | 20.0% | 0.0% | 20.0% | 0.0% | 2.46 | 1 |
| Robert B Gramacy | 2018 | 0.0% | 42.9% | 14.3% | 14.3% | 0.0% | 28.6% | 2.28 | 1 |