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Pirate-Emperor / repository
Developed by Pirate-Emperor, Seat_Forecasting is a Python-based machine learning application, implemented in a Jupyter Notebook, that predicts future restaurant visitor numbers and manages seat reservations accordingly.
Developed by Pirate-Emperor, Seat_Forecasting is a Python-based machine learning application, implemented in a Jupyter Notebook, that predicts future restaurant visitor numbers and manages seat reservations accordingly.
To run the project, you'll need:
Clone the repository and navigate to the project directory:
git clone https://github.com/Pirate-Emperor/Seat_Forecasting.git
cd Seat_Forecasting
Install the required Python packages:
pip install -r requirements.txt
Open the Jupyter Notebook:
jupyter notebook
Navigate to the Seat_Forecasting.ipynb file and open it.
Execute the cells in the notebook to preprocess data, train models, make predictions, manage seat reservations, and display visualizations.
The project uses historical visitor data from a restaurant reservation system.
To enhance the project, you can modify the Jupyter Notebook (Seat_Forecasting.ipynb). Some potential areas for improvement include:
This project is licensed under the MIT License - see the LICENSE.md file for details.
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Pirate-Emperor /
Developed by Pirate-Emperor, Restaurant_Segmentation is a machine learning project that focuses on segmenting restaurants based on their characteristics using a dataset from Zomato. The project is implemented in a Jupyter Notebook using Python.