zys321 / airbnb-pricing-prediction

Statistical Model to Predict the Optimal Price for Airbnb Listings

Airbnb Pricing Predictions

A Statistical Model to predict the optimal Airbnb Listing price in NYC given listing information (e.g. bedrooms, type of bed, location, ratings) and taking into account seasonality data. Deployed at https://airbnb-pricing-prediction.herokuapp.com/.

Data Sources

• Inside Airbnb Data 2015 Listing Data
• [Seasonality (Calendar) Data](http://data.beta.nyc/dataset/inside­airbnb­data/resource/ce0cbf46­83f9­414 a­8a1d­7fd5321d83ca)
• [Text Analysis](http://data.beta.nyc/dataset/inside­airbnb­data/resource/8115833e­8a0e­4af6­8aed ­4d96a0ae0b73)

Technologies Used

• Scikit learn
• Pandas
• Numpy
• Jupyter Notebook
• Matplotlib
• Seaborn
• Scipy
• Regression Models
  • Linear Regression
  • Ridge Regression
  • Lasso Regression
  • OMP (Orthogonal Matching Pursuit)
  • Elastic Net
  • Bayes Ridge Regression
  • Random Forest Regressor