Complete-PipeLine-MLOPS-learning

This project covers the end-to-end understanding of creating an ML pipeline and working around it using DVC for experiment tracking and data versioning (using AWS S3).

Introduction

This repository demonstrates the complete process of setting up a Machine Learning Operations (MLOps) pipeline. The main components include:

• Data versioning with DVC
• Experiment tracking
• Integration with AWS S3 for storage

Installation

1. Clone the repository:

   git clone https://github.com/amarjit03/Complete-PipeLine-MLOPS-learning.git