Detailed Course Information |
|
|
 |
||
 | Select Level or Schedule Type to find available classes for the course.
. Click here to view a description of codes used to denote candidacy, honors eligibility, and teacher education. |
| 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 Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: for DATA 6320 General Requirements: ( Course or Test: DATA 6300 Minimum Grade of C May not be taken concurrently. ) |
| Return to Previous | New Search |
|