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MahakAggarwal/Airbnb_rental_price_prediction

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Airbnb rental price prediction across European cities

Paper details

  • Word count: ~3900 words
  • Number of scholarly references: 17
  • Number of non-scholarly references: 21
  • Citation style: APA 6
  • Font: Times new roman, 12pt
  • Number of pages: 17 pages

Python libraries used

  • Geopandas
  • Geopy
  • Matplotlib
  • Numpy
  • Pandas
  • Plotly
  • PyTorch
  • Scikit-Learn
  • Scipy
  • Seaborn
  • Shap
  • Shapely
  • XGBoost

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Airbnb rental price prediction across European cities

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