Upon successful completion of this unit, you will be able to:

[1] implement linear regression model using Python; [2] evaluate regression models using metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-squared (R²); [3] discuss the limitations of regression models

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