This project was inpired by the Airbnb New User Bookings competition on Kaggle. Our primary goal is to predict whether a new user is going to book on Airbnb based on the data sets provided by Airnbnb. An example output data will be a list of users' booking probability.
Our ultimate goal is to accurately predicting which country a new user will book their first travel experience.
Based on our experiences on data mining and descriptions mentioned above, we plan to take 4 weeks time as the 1st stage with the primary goal. Here're some tentative schedules.
- TBA
- [Kaggle Competition: Airbnb New User Bookings] https://www.kaggle.com/c/airbnb-recruiting-new-user-bookings
- [BitTiger Project: Airbnb - Machine-Learning-of-prediction] https://slack-files.com/T0GUEMKEZ-F0J4G9QTT-274d3bc97e
- R or Python
- Logistic Regression
- TBA
@team: Marshtomp
@member: Harpuia