As a Data Scientist or Machine Learning engineer, you probably experienced this: You start writing code in your Jupyter Notebook, do your exploration, pre-process your data, build your models and save them… but then you lose track of which code and notebook version was the best. There are conventional tools, like git and other source […]
The post Code and Notebook Versioning for ML Teams [Guide] appeared first on neptune.ai.
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