Wednesday, March 24, 2021

How to Make your MLflow Projects Easy to Share and Collaborate on

If you use MLflow, you’re in for a treat! Because, in this article, you’ll see how to make your MLflow projects much easier to share, and enable seamless collaboration with your teammates. Creating a seamless workflow for your machine learning projects can be extremely challenging.  A typical machine learning lifecycle includes:  Data collection + preprocessing  […]

The post How to Make your MLflow Projects Easy to Share and Collaborate on appeared first on neptune.ai.



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TestDriven.io: Working with Static and Media Files in Django

This article looks at how to work with static and media files in a Django project, locally and in production. from Planet Python via read...