Project AirBnB

Project Description

Build a model to predict whether a listing will receive a booking request for a calendar night. over 184,000 data rows and 45 predictors.
You can join this project from Join Button below. Please check your emails for instructions to join and run the Notebooks.

Inspiration

Predict the likelihood of the booking for a particular listing for a particular date on AirBnB.

Given the data is collected over three different markets, we recommend a complete EDA step prior to building your base model for meaningful interpreting of your results.

Acknowledgments

The dataset has been received and analyzed during a collaboration of PhillyTalent and the Machine Learning Group at AirBnB (https://medium.com/airbnb-engineering)

 

EDA analysis with H20 Driverless AI
Feature engineering with SageMaker Notebooks
Modelling with H20 Python API

AWS SageMaker, H2o Driverless AI AWS EC2, Kaggle Kernel, RStudio Server

 

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