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This course is aimed at developing practical machine learning and data science skills. It will cover various machine learning concepts and methods as well as hands on programming with Python. The students will be able to identify the type of problems and the appropriate machine learning models, strengths and weaknesses of each model, including the assumptions of the method, and apply machine learning for prediction and evaluate the results.

Description not available at this time

This course will explore teaching fundamentals and teaching philosophy to prepare future educators. Students who complete this course will have a strong foundation of various teaching tools and techniques.