GBAC 7209
This course delves into advanced AutoML techniques and their application in predictive analytics, with an emphasis on model selection, interpretability, and deployment. Students will work with tree-based classifiers, survival models, and cost-benefit frameworks, gaining hands-on experience through multiple case competitions and real-world datasets. The curriculum integrates explainable AI, model optimization, and Python-based web app development to prepare students for building scalable, automated decision systems.