This project aims to predict the likelihood of a person having diabetes using machine learning techniques. The model is trained on a dataset containing various health-related metrics and uses Python to implement the predictive algorithms.
- Data preprocessing and cleaning
- Feature selection and engineering
- Model training and evaluation
- Performance metrics and visualization
Clone the repository and run the main script to start the prediction process.
This project is licensed under the MIT License.