|
Apr 24, 2025
|
|
|
|
STAT 6309 - Machine Learning Using Python Credits: 3
Explores supervised and unsupervised learning techniques to analyze data. Regression vs. classification, shrinkage, bootstrap, K-nearest neighbors, ridge and lasso regression, principal components, tree-based methods, bagging, random forests, boosting. Prerequisite: Permission of the department.
Add to Catalog (opens a new window)
|
|