raminmohammadi/MLOps

This project provides practical learning materials for setting up and managing machine learning systems. It helps you take raw machine learning models and turn them into reliable, scalable applications that can be used by real people. You'll get step-by-step guides and code examples, and in return, you'll gain the skills to build robust ML pipelines and oversee their performance in live environments. This is for data scientists, machine learning engineers, and IT professionals who want to bridge the gap between model development and production.

278 stars.