Machine Learning in Production | How Docker helps in Deployment

Description:
In this lecture, we dive deep into Docker and explore why it has become a game-changer for developers and ML practitioners.

What you’ll learn in this video:

1) The Docker architecture explained: containers, images, and how everything works under the hood.

2) Why Docker is important and how it compares with traditional Virtual Machines (VMs).

3) A hands-on demonstration: running a Python ML project with the Iris dataset inside a Docker container.

4) See the before vs. after Docker experience and understand the benefits in real-world workflow.

Whether you’re a beginner trying to understand containerization or an ML engineer looking to streamline your workflow, this video will give you clear insights and practical knowledge.

source