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Project on Kaggle data: Airbnb prices in European cities

Authors: Elis Vingisar and Rahel Pettai

Project Overview

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.

Replicating Our Analysis

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).

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