INFM 451 - Data Analysis and Mining II

3 credit hours
Continuation of INFM 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): INFM 241, INFM 242, INFM 245 , INFM 348, and INFM 450. Co-requisite(s): INFM 246, INFM 371.