An End-to-End Machine Learning pipeline deployed as a REST API.
API developed with FastAPI
Medical Insurance Payout
https://www.kaggle.com/datasets/harshsingh2209/medical-insurance-payout
- POST training data on
train/
- Data gets preprocessed and split
- Model pipeline is created
- Random Forest Regressor model gets trained
- Evaluated
- POST test sample on
test/
- Clone the repository
- Create virtualenv and run
pip install -r requirements.txt
- To launch server, run
uvicorn app:app --reload
- Test with Python requests or Postman