The IPL Win Predictor is a machine learning-based project that predicts the outcome of Indian Premier League (IPL) cricket matches. Using historical match data and various statistical features, this model aims to provide insights and probabilistic outcomes for upcoming matches.
- Data Preprocessing: Clean and preprocess historical IPL data.
- Feature Engineering: Extract and create relevant features from the raw data.
- Model Training: Train various machine learning models to predict match outcomes.
- Evaluation: Evaluate the performance of the models using metrics such as accuracy, precision, recall, and F1 score.
- Prediction: Use the trained model to predict the outcome of future IPL matches.
- Python 3.10 or above
- Jupyter Notebook (optional, for running and modifying notebooks)
- Git
The project uses the following Python libraries:
- pandas
- numpy
- scikit-learn
- matplotlib
- gunicorn
You can install the required libraries using pip:
pip install pandas numpy scikit-learn matplotlib seaborn gunicorngit clone https://github.com/rohit-yadavv/ipl-win-predictor
cd ipl-win-predictorContributions are welcome! Please open an issue or submit a pull request if you have any improvements or new features to add.