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Project involves: 1) Extracting metrics from Artificial Pancreas sensor data for hyperglycemia, hypoglycemia, & time intervals 2) Training a model to differentiate meal & no meal time series data, considering missing data & feature selection 3) Applying cluster validation to cluster meal data for carb amount determination, assessing accuracy w/ SSE

Python 34.65% Jupyter Notebook 65.35%

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