BUSN 7283X Data Mining and Applied Machine Learning for Business
45 hours; 3 credits
An introduction to data mining and applied machine learning for business analytics. The course introduces students to industry standard tools and techniques for analysis such as Python and essential Python libraries such as Numby, Scipy, Matplotlib, Pandas, and scikit-learn. Students learn to wrangle, explore, and visualize data. They learn techniques for data reduction. The course introduces students to prediction and classification methods such as multiple linear regression, logistic regression, discriminant analysis, k-Nearest Neighbors, Bayes classifier, neural nets, and classification trees. Contemporary challenges and issues for managers are presented.
This course is the same as CISC 7704. (Not open to students who have completed CISC 7704.)
Prerequisites: BUSN 7278X
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