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Nov 23, 2024
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BZAN 647 - Customer Analytics3 Credit Hours
Advanced data mining and machine learning with applications in areas such as acquisition modeling, up-sell modeling, cross-sell modeling, churn modeling, and customer lifetime modeling. Topics will include regularized logistic regression, decision trees, neural networks, random forests, advanced performance measures, and bias-variance tradeoffs.
Comment(s): Students are expected to have had previous experience with programming in R, or with machine learning and data mining.
Registration Restriction(s): Minimum student level – graduate.
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