SBERBANK HOUSING KAGGLE COMPETITION SOLUTION

The code below gives a solution to the Kaggle Sberbank Housing Solution competition. It will give an RMSLE error of 0.31477 and rank 60.

Data

The data needed for this project can't be uploaded here due to its large size. Please visit the competition kaggle page to download the data files.

The datafiles contain:

1. train.csv - the training file
2. test.csv - the test data (does not contain the value to be predicted.)
3. macro.csv - the macroeconomic data
4. data_dictionary.txt - a file explaining the different features in the dataset.

Requirements

The project was done in Jupyter Notebook, and would need XGBoost library installed.