To learn more, please visit our blogpost at https://blog.nycdatascience.com/student-works/data-scientists-guide-predicting-housing-prices-russia/

Team github repo for Kaggle competition occuring in May 2017.

• Kaggle Competition: Sberbank Russian Housing Market
• Can you predict realty price fluctuations in Russia’s volatile economy?
• https://www.kaggle.com/c/sberbank-russian-housing-market

Team Members:

• Haseeb Durrani
• Chen Trilnik
• Jack Yip

File details

• chen_df.csv, haseeb_data.csv, jack.csv: We had each imputed different features (train and test)
• full_data_kaggle.csv: This data set combines the features from the previous csv's (train and test)
• Data_Cleaning_Jack.ipynb: Contains outliers and imputation work
• GBM_Jack.R: Contains work on Gradient Boosting Trees Model
• MLR_RF_Jack.R: Contains work on Multiple Linear Regression and Random Forest
• xgboost_Jack.ipynb: Contains work on XGBoost