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 |
|---|---|---|---|---|---|---|---|---|---|
| 31529D | 048 | Lecture | 3:30-6:20pm | Monday | 40 of 45 | Cesar Acosta-Mejia | OHE100C | PDF (309372 KB) |  |
| 31546D | 048 | Lecture | 11:00-12:20pm | Tue, Thu | 73 of 75 | Bruce Wilcox | ZHS352 | PDF (341560 KB) | |
| 31726D | 048 | Lecture | 5:00-7:50pm | Thursday | 88 of 90 | Cesar Acosta-Mejia | SLH100 | PDF (309216 KB) | |
| 31729D | 034 | Lecture | 3:30-6:20pm | Monday | 9 of 40 | Cesar Acosta-Mejia | DEN@Viterbi | PDF (309372 KB) | |