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Spring Sem 2018
29-Mar-2024
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

STAT 577 - Data Mining Methds & Applicatn
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


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