Mathematics 446:
Data Science with Python (4.0 units)
Python implementations of: data collection, data wrangling, exploratory data analysis, dimensionality reduction, unsupervised / supervised learning, clustering, classification, common predictive statistical / machine learning algorithms, model validation.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39691D | 001 | Lecture | 1:00-1:50pm | MWF | 17 of 25 | Steven Heilman | VHE206 | PDF (96421 KB) |  |
| 39692D | 001 | Discussion | 4:00-4:50pm | Thursday | 16 of 30 | GFS222 | |