This repository contains the code for an end-to-end T20 World Cup prediction system implemented in Python. The project utilizes popular libraries such as pandas, NumPy, and XGBoost for data manipulation, cleaning, and building predictive models. Additionally, the prediction system is deployed using Streamlit for easy access and interaction.
The T20 World Cup Prediction System provides insights and predictions for T20 cricket matches. By leveraging machine learning algorithms and historical match data, the system predicts match outcomes, player performances, and team standings for the T20 World Cup.
- Data Manipulation and Cleaning with pandas and NumPy
- Building Predictive Models using XGBoost
- Deployment with Streamlit for easy access and interaction
- Clone the repository:
git clone <https://github.com/Bramitha-gowda-M/T20-world-cup-prediction-system>
- Navigate to the project directory:
cd T20WorldCupPredictionSystem - Install dependencies:
pip install -r requirements.txt
- Run the Streamlit app:
streamlit run app.py
- Access the app in your browser and explore the T20 World Cup predictions!
- Python 3
- pandas
- NumPy
- XGBoost
- Streamlit
This project is inspired by the excitement of T20 cricket and aims to provide cricket enthusiasts with valuable insights and predictions for the T20 World Cup.
This project is licensed under the MIT License. See the LICENSE file for details.