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Course ID:MIST 5635/7635. 3 hours.
Course Title:Machine Learning and Business Analytics
Course
Description:		Topics in supervised learning, unsupervised learning, dimension reduction, and feature selection. Course covers multiple methods (e.g., regression, tree-based models, and deep-learning models) and their implementation in the R computing environment. An emphasis is placed on rigorously training and testing models to achieve high reliability and accuracy.
Athena Title:Machine Learning Bus Analytics
Undergraduate Prerequisite:(BUSN 4000 or BUSN 4000E with a minimum grade of C) and (MIST 4600 or MIST 4600E with a minimum grade of C)
Graduate Prerequisite:(BUSN 4000 or BUSN 4000E with a minimum grade of C) and (MIST 4600 or MIST 4600E with a minimum grade of C)
Undergraduate Pre or Corequisite:MIST 5620
Graduate Pre or Corequisite:MIST 7770
Semester Course
Offered:		Offered every year.
Grading System:A-F (Traditional)
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