Detailed Course Information |
Spring Sem 2018
29-Apr-2024 |
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| STAT 577 - Data Mining Methds & Applicatn |
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Understanding and application of data mining methods. Data preparation; exploratory data analysis and data visualization; predictive modeling using generalized linear models, decision trees, neural networks; model assessment; cluster analysis; association analysis; and other topics. Use of standard computer packages. Registration Restriction: Minimum student level – graduate. 3.000 Credit hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Business Analytics/Statistics Department Restrictions: May not be enrolled in one of the following Levels: Undergraduate |
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