Property rental web application populated with data from Chicago Airbnb dataset. Hosts may generate recommended prices for their rental listings with a machine learning-based price recommender. The main feature is a scheduling system for tenants to book rentals for property listings that hosts create.
A Chicago housing rental service web application built using Node.js, Express, and MongoDB.
command: git clone
Install any required dependencies with command: npm install
command: nodemon start url: localhost:3000
Chicago Airbnb data: http://insideairbnb.com/get-the-data.html
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