GitHub / ashen007 / MedicalCostPrediction-insurance_fraudDetection

The optimal way to predict the medical cost of patients is based on their historical data such as age, gender children, smoking habits and the region they live in. of course, this is a regression problem so linear, non-linear and ensemble methods are used to choose the best model to make predictions with less variance and with higher accuracy possible. fraud detection decided to parts based on either patient admit to hospital or OPD. fraud detection is a binary classification task.

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Topics: ensemble-learning, hack, hacktoberfest, hacktoberfest-accepted, hacktoberfest2021, kaggle, machine-learning, numpy, pipeline, regression, scikit-learn, scipy, statistics

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