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Model predicting insurance charges based on the user's age, taking into account smoking and BMI

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Insurance Cost Prediction

  • This program utilizes the linear_model.LinearRegression() module from sklearn to determine how age affects insurance costs. It analyzes data from the insurance.csv file.

Usage

  • Clone this repository to your local machine.
  • Ensure you have Python and the required dependencies installed (sklearn, etc.).
  • Run the program by executing python insurance_analysis.py in your terminal.

Dataset

  • The dataset (insurance.csv) contains information about individuals' insurance charges, including age, sex, BMI, number of children, smoking status, and charges.

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Model predicting insurance charges based on the user's age, taking into account smoking and BMI

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