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Project: Hotel Revenue Forecasting

The purpose of this project is to:

  • Build a predictive model for hotel revenue using historical booking data
  • Visualize seasonality and booking patterns
  • Automatically generate monthly/quarterly forecasts
  • Include "what-if" scenario analysis for management decisions
  • Allow exporting results to an Excel dashboard

Prerequisites:

Python 3.12+

Instructions:

pip install -r requirements.txt

Note: It is strongly recommended to create a Python virtual environment for the project.

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Jupyter Notebook using data based on the cancellation of hotel bookings

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