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.