Medical insurance is a big thing in the US. According to census.gov 304 million Americans had health insurance. In this project I utilized regression techniques to create an optimal model for predicting insurance costs based on bmi, age, children and smoker variables present in the dataset.
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Mueeshassan/medical-costs-regression-model
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A utilization of regression techniques to create an optimal model for predicting insurance costs based on bmi, age, children and smoker variables
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