|
Feb 13, 2025
|
|
|
|
2022-2023 Undergraduate Catalog [Archived Catalog]
|
DS 303 - Statistical Learning The topics that are discussed in this course are: Basic statistical learning methods such as linear regression and classification; resampling methods such as cross-validation and bootstrapping; model selection methods such as subset selection, ridge and lasso regression, and principle component analysis; tree-based methods such as decision trees and random forests; additional topics may include support vector machines and deep learning. Appropriate R packages are used for the aforementioned methods.
Credits: 4
Core: Quantitative Reasoning
|
|