#About Dataset
##Context
Since 2008, guests and hosts have used Airbnb to expand on traveling possibilities and present a more unique, personalized way of experiencing the world. This dataset describes the listing activity and metrics in NYC, NY for 2019.

##Content
This data file includes all needed information to find out more about hosts, geographical availability, and necessary metrics to make predictions and draw conclusions.


##Inspiration
What can we learn about different hosts and areas?
What can we learn from predictions? (ex: locations, prices, reviews, etc)
Which hosts are the busiest and why?
Is there any noticeable difference in traffic among different areas and what could be the reason for it?
How does proximity to different points of interest impact the prices?

## Task
The task is to predict the prices of Airbnb listings.

## Acknowledgments
This public dataset is part of Airbnb, and the original source can be found on this [website](http://insideairbnb.com/)