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The goal of this project is to “predict the potentially fraud providers” based on the claims filed by them using machine learning algorithm. The total Medicare spending increased exponentially due to frauds in Medicare claims. Healthcare fraud is an organized crime which involves peers of providers, physicians, beneficiaries acting together to make fraud claims. We will study fraudulent patterns in the provider's claims to understand the future behaviour of providers. We are considering Inpatient and Outpatient claims and Beneficiary details of customers. Inpatient claims can be filed for many services like surgeries, emergency services, observations, therapies etc.