Machine Learning with Python
Academic Noncredit

Making accurate predictions is a powerful skill when working with real-world data. This course teaches you how to frame research questions as prediction problems and apply foundational machine learning techniques. We'll explore a range of algorithms, including linear and logistic regression, decision trees, random forests, XGBoost, and simple neural networks. By the end of the course, you'll be equipped to build, evaluate, and interpret predictive models, empowering you to uncover patterns in data and make informed, data-driven decisions. Learn skills such as Introduction to Machine Learning, Least Squares for Continuous Response Prediction, Logistic Regression for Binary Responses, Decision Tree Algorithms, and Neural Networks.