This project, ML-K8s-Fastapi, is a machine learning API for Iris flower classification. It's built using Scikit-learn for the ML model and FastAPI to create the API. The application is Dockerized, making it ready for deployment, particularly to Kubernetes. It provides a /predict endpoint to classify Iris flowers based on their sepal and petal