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House Prices XGBoost

One of the favourites machine learning competitions for advanced regression techniques.

Project is not limited to solution with XGBoost (RMSLE 0.140958). It guides through the process of data exploration, preprocessing and feature engineering.

This repo contains also handy data/solution.csv that allow you to test your score without submission to Kaggle.

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House prices dataset exploration and prediction. Workflow includes useful examples of Tensorflow pipelines including k-Nearest Neighbors imputer, Decision Tree Regression and XGBoost Regression

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