https://www.kaggle.com/siddharthm1698/airbnb-regression-classification-hypothesis-test/
Since 2008, guests and hosts have used Airbnb to expand on traveling possibilities and present more unique, personalized way of experiencing the world. This dataset describes the listing activity and metrics in NYC, NY for 2019.
This data file includes all needed information to find out more about hosts, geographical availability, necessary metrics to make predictions and draw conclusions.
This public dataset is part of Airbnb, and the original source can be found on this website. https://www.kaggle.com/dgomonov/new-york-city-airbnb-open-data
What can we learn about overall data and how do we visualize them?
What can we learn from predictions? (ex: prices and reviews)
How does the acccuracies varies across different classification models for availablity of airbnb's?