Machine Learning Models Deployment with Flask and Docker

Learn how to deploy machine learning models with Flask and Docker. What happens after we train a model in a Jupyter Notebook? It's time to deploy it!

In this talk, we'll learn about putting ML models into production and deploying it as a web service. We'll cover:
- Saving and loading models with pickle
- Serving the model with Flask
- Creating and managing virtual environments with Pipenv
- Packaging the service in Docker
- Deploying the model to the cloud with AWS Beanstalk

Learn the advanced machine-learning concepts including MLOps, chatbots, and recent developments: https://www.youtube.com/playlist?list=PL8eNk_zTBST_SS_czCz6Do1yrUowhKBHI

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