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BZAN 552 - Multivariate/Data Mining Techq |
Multivariate normal distribution, data visualization, handling missing data, dimension reduction techniques, supervised learning, clustering, outlier detection, including a team-based project and common data mining software. Cross-List: (Same as Statistics 576.) (RE) Prerequisite(s): 540 and 542 Comment(s): Prior knowledge may satisfy prerequisite with consent of instructor. 3.000 Credit hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Business Analytics/Statistics Department |