Airbnb new user first destination prediction

Link for the input data

https://www.kaggle.com/c/airbnb-recruiting-new-user-bookings/data

Requred python library

xgboost

Make a new directory input and put all the data in this directory. Also create directories feature_engineer_processed and preprocessed.

mkdir input
ln -s input/train_users_2.csv input/train_users.csv
mkdir preprocessed
mkdir feature_engineer_processed

Pre-process raw data:

python code/feature_engineer.py  -p input

python code/feature_process.py -p input

Generate model and make prediction on the test data

python code/xgboost_cv.py -lr 0.35 -d 5 -n 50 -ct 0.7 -sub 1 -p preprocessed