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DATA 200

Data Analytics and Machine Learning with Python

Data analytics and machine learning using Python. Fundamentals of programming in Python and practical experience working with data, as well as the traditional Machine Learning approach (train-test-validate) on supervised and unsupervised models. Analysis of the appropriate use and potential misuse of data; critical thinking about statistical evidence and analytical conclusions. (Fall)

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