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Version Control Your ML Model Deployment With Git using Modelbit
Towards Data Science - Medium towardsdatascience.com
Develop, deploy, and track!
Introduction
Version control is critical to all development processes, allowing developers to track software changes (code, configurations, data, etc.) over time.
Moreover, it facilitates collaboration between team members, enabling them to work together on the same codebase without interfering with each other’s work.
In the context of data teams, version control can be especially crucial when deploying models.
It enables them to identify precisely what changed, when it changed, and …
code codebase collaboration control data data science deployment developers development enabling etc git machine learning model deployment processes programming software team together version control work