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