Individualized secondary or applied research in special areas of guided doctoral-level investigation.

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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.

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