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Learning Machine Learning with House Prices Challenge on Kaggle - Top 1%

This is my first machine Learning Project. I have made many jupyter notebooks for this competitions.

Made my first submission at 29 dec 2022: RMSE of 1.11734 using Linear Regression with one variable....

Than the second at 09 jan 2023: RSME of 0.29853 using Multiple Linear Regression and Feature Engineering

  • See House_Price_old.ipynb

Than the last at 4 feb 2023: RSME of 0.11564 (without the cheaters with RSME < 0.05) place 15th (top 1%) using Ridge, Lasso, CatBooster and XGBooster with improved Feature Engineering.

  • see House_Price_newest.ipynb

Also credit to https://www.kaggle.com/sorkun on Kaggle, his notebooks really help me understood Feature Engineering better!

I hope you can learn something from my notebooks.