Predict prices of Airbnb listings in NYC.

The goal of this project is to predict the prices of Airbnb listings in New York City and understand what are the most important features that decide the price. The dataset used for this project was obtained from - https://insideairbnb.com/get-the-data.html Dataset contains data of all the Airbnb listings in NYC as on June 3rd 2019.

This notebook contains embedded tableau visualizations and interactive plotly visualizations. So, please use the following link below to view the notebook with rendered interactive visualizations - https://nbviewer.jupyter.org/github/ap1495/NYC-Airbnb-Listings/blob/master/Airbnb%20NYC.ipynb

Programming Languages/Tools Used:

• Python
• Tableau

Libraries used:

• NumPy
• Pandas
• Scikit-Learn
• Plotly
• Matplotlib
• Seaborn

Machine learning models implemented:

• Lasso
• Random Forest Regressor
• Gradient Boosting Regressor
• Stacked Regressor