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Oct 10, 2024
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DATA 451 - Data Analysis and Mining II
3 credit hours - Information Literacy - Continuation of DATA 450. Predictive models (e.g., decision trees, logistic SVM Bayes, nearest neighbors), model evaluation techniques, clustering (hierarchical, density-based), basic association analysis, and anomaly detection. Data visualization/exploration. Hands-on projects. Prerequisite(s): DATA 171 , DATA 241 , DATA 242 and DATA 450 .
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