Data Science 561:
Predictive Analytics (3.0 units)
Analytics for supervised and unsupervised statistical learning. Generalized linear models, discriminant analysis, support vector machines. Nonparametric classification, trees, ensemble methods, k-nearest neighbors. Principal components, clustering.
- Crosslist: This course is offered by the ISE department but may qualify for major credit in DSCI. To register, enroll in ISE 529.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 31726D | 048 | Lecture | 5:00-7:50pm | Tuesday | 17 of 19 | Cesar Acosta-Mejia | SOSB2 | PDF (312836 KB) |   |
| 31729D | 073 | Lecture | 5:00-7:50pm | Tuesday | 30 of 30 | Cesar Acosta-Mejia | ONLINE | PDF (311840 KB) | |
| 31772D | 073 | Lecture | 11:00-2:00pm | Friday | 50 of 54 | Cesar Acosta-Mejia | ONLINE | PDF (311088 KB) | |