

In Introduction to Statistical Learning, we’ll cover statistical modeling concepts, such as when to use certain models, how to tune those models, and whether other options might make certain tradeoffs. We’ll cover regression, classification, trees, sampling, unsupervised methods, and more! This course can be taken for credit toward the CU Boulder Master of Science in Data Science (MS-DS) program offered on Coursera. The MS-DS is an interdisciplinary degree with faculty from CU Boulder’s Applied…
Regression and classification is listed in the GenAI.Works courses directory, from University of Colorado.