ParthDS02/Airbnb-Listings-EDA-Project-New-York-2024
This project analyzes Airbnb listing data to uncover trends in pricing, reviews, and availability. Using Python, it explores correlations between variables such as price, room type, and location. Visualizations and statistical insights help hosts optimize listings for better performance in competitive markets like New York.
Jupyter NotebookMIT