BNAN440

043814

Develop analytical models for business problems. Models include supervised models with nearest neighbors, naïve Bayes, linear regression, and logistic regression, and unsupervised models with association rules and k-means clustering. Variable selection occurs through penalized regression and penalized likelihood. Problem datasets will need preparation, including handling missing values. This course includes a group model building project with a presentation and a separate individual model building project with a written report.

GRD - Regular Grades A, B, C, D, E

Undergraduate

019733