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|INFM 451 - Data Analysis and Mining II|
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 171, INFM 241, INFM 242, INFM 245 , INFM 348, and INFM 450. Co-requisite(s): INFM 371.
3.000 Credit hours
Schedule Types: Hybrid, Independent Study, Lecture, Online
Textbook information for this course.