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ECON 2824 - BIG DATA AND FORECASTING IN ECONOMICSMinimum Credits: 3 Maximum Credits: 3 Big Data and Forecasting in Economics covers cutting-edge methods typically used in statistical learning and is designed to help students learn how to apply the econometric techniques learned in the previous courses big data environments. The course introduces students to machine learning, text learning analysis, as well as scraping and data mining techniques using R. Some methods encountered in this course are classification, resampling, regularization, tree-based methods, supporting vector machines, deep learning, and unsupervised learning. Academic Career: Graduate Course Component: Lecture Grade Component: Grad LG/SNC Basis
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