|
Sep 07, 2024
|
|
|
|
DATA 451 - Data Analysis and Mining II 3 credit hours - Continuation of DATA 450. Predictive models (e.g., decision trees, logistic SVM Bayes, nearest neighbors), model evaluation techniques, clustering (hierarchical, density-based), basic association analysis, and anomaly detection. Data visualization/exploration. Hands-on projects. Prerequisite(s): DATA 171 , DATA 241 , DATA 242 and DATA 450 .
Add to Portfolio (opens a new window)
|
|