The Medals Predictor Model is a machine learning model designed to predict the number of medals a country might win in a sports competition based on various factors such as the number of athletes, their age, and previous medal counts. This project aims to provide insights into medal predictions for different countries participating in sports events.
- Predicts the number of medals a country might win in a sports competition.
- Utilizes machine learning algorithms to analyze historical data and make predictions.
- Allows users to input various parameters such as the number of athletes, their age, and previous medal counts.
To use the Medals Predictor Model, follow these steps:
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Clone the repository to your local machine:
git clone https://github.com/adityajha2005/MedalsPredictorModel.git
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Install the required dependencies:
pip install -r requirements.txt
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Run the main script to train the model and make predictions:
python main.py
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Input the required parameters when prompted and view the predicted medal count for the specified country.
The project utilizes historical data from past sports events to train the machine learning model. The data includes information about countries, the number of athletes, their age, and previous medal counts.
Contributions to the project are welcome! If you have any suggestions, bug fixes, or feature enhancements, feel free to open an issue or submit a pull request.
This project is licensed under the MIT License.
- This project is inspired by the excitement and anticipation surrounding sports events.
- Special thanks to contributors and users for their valuable feedback and support.
For any inquiries or feedback, please contact Aditya.
Feel free to copy and paste this content directly into your README.md file in your GitHub repository. Let me know if you need further assistance!