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CIS 242

Predictive Analytics for Business

4.0 credits

The course introduces students to fundamental concepts, methodologies, and software tools for applying machine learning algorithms for business analytics. The course covers core machine learning algorithms for supervised and unsupervised learning, and Python programming tools with emphasis on libraries for data analysis and machine learning. Topics include data pre-processing, mining frequent patterns, association and correlation, classification, and cluster analysis.

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Topics explicitly listed in official catalogue description

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