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[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow

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An stacked regression based on xgboost, keras for Kaggle house price competition

  • Description: implement a stacked regression using xgboost, keras linear regression. The score (0.11) is much better than using Tensorflow (0.45) in branch v1.0.
  • Development environment:
    • Anaconda 4.4, Python 3.6
    • Xgboost 0.6
    • Window 10.

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[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow

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python tensorflow xgboost kaggle-house-prices

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