Predicting The Destination of Airbnb Users

Photo by Leah Kelley from Pexels

Problem Statement

Airbnb is a platform where people book housing when they travel. The task at hand is to predict the first booking destination of new users. All the users are from the USA. There is 12 possible destinations in the dataset: 'US','FR','CA','GB','ES','IT','PT','NL','DE','AU','NDF'(no destination found). The dataset was given by Airbnb as part of a competition on kaggle in 2015.

We will be using different machine learning techniques like logistic regression, decision tree ,random forest and XGBOOST and Kmeans to perfom a classification