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BNAN 440

Predictive Analytics in Practice

University of Arizona 3 credits Business Analytics, Sch of

Course Description

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.

Code
BNAN 440
Credits
3
Subject
Business Analytics, Sch of

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