Data Science 561:
Predictive Analytics (4.0 units)
Supervised learning. Linear regression, cross validation, ridge and lasso regression, logistic regression, k-nearest-neighbors, decision trees, random forest and gradient-boosting models, support vector machines, neural networks.
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| 31529R | 901 | Lecture | 2:00-5:10pm | Tue, Thu | 9 of 30 | Tao Ma | OHE120 | PDF (270312 KB) |  |
| 31746D | 909 | Lecture | 2:00-5:10pm | Tue, Thu | 2 of 20 | Tao Ma | DEN@Viterbi | |