Deploy Machine Learning Pipeline on AWS Fargate - Try this link - http://3.85.99.25:5000/ OR if that doesn't work, try this - http://3.238.32.28:5000/

Containerize and deploy ML Pipeline serverless on AWS Fargate

Update: 16th August 2021

• Understand AWS Fargate and serverless deployment
• Build and push a Docker image of the ML model onto Amazon Elastic Container Registry (ECR)
• Create and execute a task definition using AWS Fargate
• See whether the web app that uses a trained ML pipeline to make predictions