MABA6421: Predictive Analytics

2 Credits

Fundamentals of predictive modeling and data mining; assessing performance of predictive models; machine learning and statistical classification and prediction; logistic regression; decision trees, random forests; k- nearest neighbor techniques, naïve Bayesian classifiers, neural networks.

View on University Catalog

All Instructors

B+ Average (3.464)Most Common: A- (26%)

This total also includes data from semesters with unknown instructors.

23 students
FDCBA
  • 4.44

    /5

    Recommend
  • 3.28

    /5

    Effort
  • 4.61

    /5

    Understanding
  • 4.44

    /5

    Interesting
  • 4.06

    /5

    Activities


Gopher Grades is maintained by Social Coding with data from Summer 2017 to Summer 2024 provided by the Office of Institutional Data and Research

Privacy Policy