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Feature engineering — Machine Learning Zoomcamp Module 2

The feature age of the car was included in the dataset, obtained with the subtraction of the maximum year of cars and each of the years of cars. This new feature improved the model performance, measured with the RMSE and comparing the...

Machine Learning Zoomcamp › Module 2: Machine Learning for Regression › Feature engineering

Notes

The feature age of the car was included in the dataset, obtained with the subtraction of the maximum year of cars and each of the years of cars. This new feature improved the model performance, measured with the RMSE and comparing the distributions of y target variable and predictions.

The entire code of this project is available in this jupyter notebook.

⚠️ The notes are written by the community.
If you see an error here, please create a PR with a fix.

Key concepts

Sources


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