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Predicting NYC Airbnb Listing Prices

DS-GA 1001: Introduction To Data Science
Anhthy Ngo (an3056@nyu.edu), Eelis Virtanen (ev933@nyu.edu), Aren Dakessian (agd387@nyu.edu)

Data

Our data will be collected from insideairbnb.com, which is an independent, non-commercial group that web-scrapes Airbnb listings, reviews, and calendar data from multiple cities worldwide. Specifically, we will be looking at data for New York City. The data provides Airbnb summary information and metrics for listings in New York City (i.e., geographic, host, review information) that will be useful in predicting our target variable price.

For this project, we use the following file from InsideAirbnb:

  1. listings.csv: contains a wealth of information for Airbnb listings within NYC (i.e., price, accommodations, host, locations, etc)

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predicting cleared airbnb listing prices in nyc

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