Authors: Elis Vingisar and Rahel Pettai
This project explores Airbnb housing prices in 10 European cities, with a focus on variations between weekdays and weekends. The primary goals are to develop a predictive model for Airbnb accommodation prices and to analyze price variations. The insights gained will assist travellers in budgeting their trips and enable hosts to set competitive rates.
For a detailed walkthrough of the analysis, please refer to our Jupyter Notebook included in this repository.
To replicate our analysis, follow these steps:
- Clone this repository to your local machine.
- Install the necessary Python packages. For example, use the command !pip install folium.
- Run the Jupyter Notebook (Kernel -> Restart & Run All).