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STAT 577 - Data Mining Methods and Applications

3 credit hours

Understanding and application of data mining methods. Data preparation; exploratory data analysis and data visualization; predictive modeling using generalized linear models, decision trees, neural networks; model assessment; cluster analysis; association analysis; and other topics. Use of standard computer packages.

  • Minimum student level – graduate.