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CS 445 - Predictive Analysis

Description
(3). Prerequisite: MS 444. An overview of the principles and techniques used in Predictive Modeling. Modeling techniques will include, but not be limited to prediction (regression, decisions trees, neural networks), association rules (market basket analysis), segmentation (clustering, K-Means algorithm), and text mining.
Credits
3
Attributes
4-year institution
Recent Professors
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Recent Semesters
Fall 2021
Avg. Sections
1