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For this assignment we had to use personal information from a person to predict the price of medical bills for a year.

Steps

  1. Download and explore the dataset.
  2. Prepare the dataset for training.
  3. Create a linear regression model.
  4. Train the model to fit the data.
  5. Make predictions using the trained model.

Link to the Jupyter notebook I made for the assignment: remusa/02-insurance-linear-regression | Jovian

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