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End-to-End Machine LearningProject: Stroke Risk Predictor
This project aim was to build and deploy a model that can predict whether or not a patient will have a stroke based on a variety of factors relating to patient data. This encompasses the patient’s medical history, and demographic information. The deployment of such a model could result in successful preventive care by focusing medical attention on high risk patients.