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used Azure ML Studio Designer to build a classification model to predict the likelihood of a patient developing Chronic Heart Disease (CHD) in the coming ten years. Created model pipeline for data cleansing, feature analysis, model evaluation and REST Endpoint deployment, achieving accuracy of 84%.
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