Smart Pricing - Airbnb Price Prediction for New York City

A favorable recovery in the real estate market after the Covid-19 pandemic has been predicted by many analysts, and a significant rise in housing sources as well as the high demand for intelligently setting up the housing price for hosts can be expected. The goal of this project is to utilize machine learning techniques to train a Deep Neural Network model to predict the housing price for Airbnb properties in New York City.

Data Source

Denis Gomonov 2019 New York City Airbnb Open Data Airbnb listings and metrics in NYC, NY, USA (2019). https://www.kaggle.com/dgomonov/new-york-city-airbnb-open-data

How-to

Environment

python3 -m venv <env_name>
source <env_name>/bin/activate
pip install -r requirements.txt

Execution

git clone https://github.com/dzcyb0rg68/e503_airbnb_prediction.git
cd e503_airbnb_prediction
jupyter notebook

Questions?

Please reach out to the author Chang at cc93@iu.edu

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