File:
1.train.csv training data with SalePrice as label
2.data_description.txt the data description in each column
3.test.csv testing data without SalePrice
4.sample_submission.csv the prediction
Using Stacked Regressions (ElasticNet, Lasso, KernelRidge, GradientBoosting, Xgboost, Lightgbm) to predict the house price.
Please opene House-Selling-Prediction-Kernel.ipynb for details