A GitHub Repo where I push my Daywise Learnings of MLOps
What is MLOps? MLOps (Machine Learning Operations) is a set of practices and principles that combine machine learning, data engineering, and DevOps to streamline the process of building, deploying, and maintaining ML models in production environments. The key goals of MLOps are to increase the speed, efficiency, and reliability of ML model development and deployment.
A great read about the overview of MLOps: https://www.databricks.com/glossary/mlops