DAT 6550
Machine Learning Tools for Prediction of Bus Outcomes
Machine Learning deals with algorithmic learning from data to predict the future. This course emphasizes data situations that students are likely to face in marketing, finance, manufacturing, and other business domains. Students will analyze business datasets using various advanced analytic techniques such as logistic regression, decision trees, random forest, stochastic gradient boosting, ensembles, and clustering, etc. The focus of the course lies in the conversion of raw business data into robust, actionable predictions for decision-making. Students may not earn credit in both DAT 5550 and 6550.
Prerequisites & course information
Credit 3 units. Typical periods offered: Spring, Summer
Sources
- Course catalogue โ2026โ2027