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