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putb_nycdsa_kaggle

pump_up_the_bayes (Young Min [Paul] Cho + Alexander Sigman) Kaggle competition group project code and supporting files.

The Jupyter notebook file contains EDA and modeling code.

Original train/test data, CSVs generated during EDA phase, and Kaggle submission CSV are located in data folder.

Images folder for presentation purposes only.

Further information about the project can be found here: https://nycdatascience.com/blog/student-works/housing-price-predictions-using-advanced-regression-techniques/?_thumbnail_id=47101

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Kaggle housing price prediction competition project

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