Part 3 | Hands-On End-to-End ML Model Deployment on Kubernetes | Build Machine Learning Model & API

In this tutorial, we'll be deploying a machine learning service on Kubernetes, encompassing: - Sentiment Analysis Model: Developed using Scikit-Learn. - FastAPI-based REST API: For seamless model inference. - Containerization: Using Docker or Podman. - Kubernetes Deployment: Featuring auto-scaling with Horizontal Pod Autoscaler (HPA). - Persistent Storage: Ensuring reliable management of model artifacts. - Monitoring: Implemented with Prometheus for real-time insights. This comprehensive guide is tailored for beginners eager to enhance their MLOps skills and gain practical experience in deploy…