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.
- Prerequisite: 1 from (MATH 226 or MATH 227 or MATH 229) and 1 from (MATH 225 or MATH 235) and 1 from (MATH 308 or MATH 408) and 1 from (ITP 115 or ITP 116 or TAC 115 or TAC 116)
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39691D | 001 | Lecture | 1:00-1:50pm | MWF | 25 of 25 | VHE206 |  | ||
| 39692R | 001 | Discussion | 4:00-4:50pm | Thursday | 25 of 25 | WPH206 | |