Supervised Machine Learning

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1500

#0 of 0 in QST BA

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QSTBA 600, QSTBA 602, QSTBA 780. This course provides students with practical skills in performing hands-on analytics on real-world datasets predominantly gathered through digital interactions. Students will learn to apply supervised machine learning techniques to analyze this data, using the Python programming language. The course includes a series of lectures and in-class exercises designed to help students derive actionable recommendations from their analyses and effectively present their findings. The goal of the course is to foster a deep understanding of popular supervised machine learning methods and to illustrate the types of business problems to which these techniques can be effectively applied→QST BA 810→unlocks 6 courses

6 mapped courses list QST BA 810 as a prerequisite. See on the map →

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