fraud-detection-project. build a model to classify insurance claims as either fraudulent or legitimate based on historical claim details and customer profiles. By using features such as claim amounts, customer profiles, claim types and approval times, the company aims to predict the claims that are likely to be fraudulent before they are approved

github.com/sendtoshailesh/fraud-detection-project

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