|
May 10, 2024
|
|
|
|
2023-2025 Catalog Volume XXXI Ver 1
|
CST 5030 Predictive Modeling Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5 This course focuses on concepts and application of predictive analytics and modeling, which is the most common data mining technique. Core paradigms for the application of predictive modeling, including classification and prediction are covered. Specific topics include k-nearest neighbors, classification and regression trees (CART), and Bayesian classifiers.
Prerequisite(s): Program Admission
|
|