DAS 460 Applied Analytics II

Predictive modeling techniques for data science. Topics include tree models, shrinkage techniques, support vector machine, neural network, deep learning and Naïve Bayes. Prerequisites: DAS 450.

Credits

3(3-1)

Course Syllabus