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This workshop will use dual active learning, participant execution and examining a deployed student machine learning (ML) use case, to better understand how to develop and run ML code for course assignments. Using a simulation case assignment of predicted MS phenotype based on IL-17 expression after microbial exposure, participants will examine the implementation and run ML code. Participants will demonstrate python code extraction and implement a code scheme in a free Jupyter notebook environment.
