How to Move Your Data Science Project to Production
Last Updated on July 25, 2023 by Editorial Team
Author(s): Angelica Lo Duca
Originally published on Towards AI.
A tutorial on using GitLab to make your data science project production-ready
Photo by Arshad Pooloo on Unsplash
If you are a data scientist, you know that the real challenge isn’t building a predictive model or analyzing large datasets. The real challenge is taking your project from the development stage to production-ready status. And that’s where GitLab comes in.
In this tutorial, we’ll show you how to use GitLab to move your data science project from development to deployment quickly and efficiently. Say goodbye to messy code merges and hello to organized collaboration — let’s dive into the world of production-ready data science projects!
We’ll cover:
An overview of GitLab and the CI/CD workflowCreating a GitLab… Read the full blog for free on Medium.
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