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Creating a detailed description for a GitHub repository focused on predicting T20 cricket match outcomes using a Random Forest model involves outlining the project purpose, setup, usage, and structure

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T20 Score Prediction Application

This repository contains a T20 score prediction application built with Streamlit. The application uses XGBoost to predict the final score of a T20 cricket match based on various match features.

App Screenshot

Features

  • Predict the final score of a T20 match

  • User-friendly interface built with Streamlit

  • Real-time prediction updates

  • Python 3.7+

  • pip (Python package installer)

Clone, Install, and Run

# Clone the repository
git clone https://github.com/your-username/t20-score-prediction.git
cd t20-score-prediction

# Install dependencies
pip install -r requirements.txt

# Run the application
streamlit run app.py

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Creating a detailed description for a GitHub repository focused on predicting T20 cricket match outcomes using a Random Forest model involves outlining the project purpose, setup, usage, and structure

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