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Information Select the Course Number to get further detail on the course. Select Schedule Type to find available sections of the course as well as section specific prerequisites. Prerequisites listed in the catalog descriptions are recommended and may not be the same as registration prerequisites in PipelineMT. Use the Look Up Classes link for a grid display of important course information as well as prerequisites and memo notes about the section.

DATA 6320 - Predictive Modeling
Develop models to predict outcomes through the use of supervised learning techniques. Applications in regression and classification modeling used to develop data driven problem solving to predict and support decisions and analysis.
3.000 Credit hours

Levels: Graduate
Schedule Types: Combined Lecture/Lab

Basic and Applied Sciences Department

Course Attributes:
College of Basic & Applied


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Release: 8.7.2.4