Carsome Challenge I - Car Price Prediction

Using Linear Regression module as machine learning algorithm to predict selling price of cars that are attractively priced for customers.

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posted an update —

As a part two to my learning outcome, I have attempted Random Forest Regression, Decision Forest Regression to further try out the problem to find if another ML algorithm that is better and suitable for car price prediction.

Designer's Canvas Overview: https://photos.app.goo.gl/FDej4YiW9CzagoKG8

Scored Dataset Values Predicted: https://photos.app.goo.gl/swcn3RvCh9dkBrJx5

Evaluation Results: https://photos.app.goo.gl/DVxrXfwH7BNvUUHq9

Relative squared error (RSE): 0.08 Relative absolute error (RAE): 0.16 Coefficient of determination (R2): 0.91

I am happy that the evaluation results are better the second time with another ML algorithm.

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