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This project is on descriptive and predictive analysis of Ames Housing Data. We wish to: Determine the factors that affect the prices of the local housing market? Train a model to accurately predict the prices and improve price prediction accuracy using ML techniques and also test that our predictions are realistic using GridSearchCV, XGBoost etc.

License: MIT License

Jupyter Notebook 99.98% Python 0.02%

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