Machine Learning

STEM

This honors course continues the programming fundamentals taught in Introduction to Python by using Machine Learning (ML) and Artificial Intelligence (AI) to organize, interpret, and learn from data sets and to make and use decision trees. Students will train models to use these algorithms to organize datasets efficiently and to predict and solve problems. Advanced topics include bagging, random forests, and gradient boosting, equipping students to contribute to advanced courses in Computer Science, Robotics, EID, and more.

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