In this video, we dive into Data Version Control (DVC) and how it helps you build robust, reproducible, and scalable data pipelines for Machine Learning projects.
You’ll learn:
✅ Setting up DVC
✅ Steps to create and manage reproducible ML pipelines
✅ Building DVC state file for reproducing experiments.
Whether you’re a data scientist, ML engineer, or aspiring MLOps practitioner, this hands-on session will give you the tools to streamline your workflow and make your ML projects production-ready.
Git repo - https://github.com/Mayurji/dvc-data-pipeline
Steps - https://github.com/Mayurji/Explore-Libraries/blob/main/DVC/data-pipeline.md
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#MLOps #DVC #DataEngineering #MachineLearning
