A predictive model to estimate medical insurance costs based on various factors such as age, gender, BMI, children, smoker status, and region. Implemented in Python using machine learning algorithms.
- Data preprocessing and cleaning
- Feature selection
- Model training and evaluation
- Performance metrics
Clone the repository and run the main script to start the cost prediction process.
This project is licensed under the MIT License.