MLOps Tutorial #1: Intro to Continuous Integration for ML

Learn how to use one of the most powerful ideas from the DevOps revolution, continuous integration, in your data science and machine learning projects. This hands-on tutorial shows you how to create an automatic model training & testing setup using GitHub Actions and Continuous Machine Learning (CML), two free and open-source tools in the Git ecosystem. Designed for total beginners! We'll be using: GitHub Actions: https://github.com/features/actions CML: https://github.com/iterative/cml Resources: Code: https://github.com/andronovhopf/wine GitLab support: https://github.com/iterative/cml/wiki Have a use case from your own data science/machine learning project that you'd like to explore? Tell us, and we might make a video tutorial about it! 🧑🏽‍💻 To learn more. about our tools, take our free online course at https://learn.iterative.ai