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This model predicts medical insurance based on (age,sex,bmi,children,smoker,region) of a patient, it has 1339 instances, used seaborn and PyPlot to visualize the data distribution, data was preprocessed by changing alphabetic data to numeric, test size was 15%,
aminemoussi/ML_LinearRegressor1
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This model predicts medical insurance based on (age,sex,bmi,children,smoker,region) of a patient, it has 1339 instances, used seaborn and PyPlot to visualize the data distribution, data was preprocessed by changing alphabetic data to numeric, test size was 15%,
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