Data Science 3 with Python (303-3-21)
Non-linear statistical models and tree-based methods in data science.
Instructor: Prof. Emre Besler
Term: Spring
Teaching Assistant Responsibilities
- Assist students with advanced machine learning concepts
- Support course instruction and grading
Course Description
The course introduces non-linear statistical models such as splines, and tree-based methods such as random forests, and boosting. It also introduces some statistical concepts such as model bias and variance.