ACST 4351 - Principles of Data Mining (3)

An in-depth study of data mining techniques such as visualizing and exploring data, decision tree and classification, logistic regression, support vector machines, cluster analysis, and predictive modeling for classification and regression. This course is co-listed with ACST 5351. Prerequisite(s): ACST 4321 with a grade of C or better. An additional fee is associated with this course.