The present work aims to predict in which country will a new user make its first booking on the Airbnb platform using the datasets available at Kaggle’s competition “Airbnb New User Bookings”. In this regard, a machine learning model using the XGBoost algorithm was built aiming to optimize the Normalized Discounted Cumulative Gain (nDCG).
Um artigo em português foi escrito explicando as etapas do desenvolvimento do projeto: Article link.