Running ML code on jupyter notebooks is good for quick prototyping and model exploration. On production level large scale model training settings we should prefer .py ML pipelines packed into a docker ...

This is a collection of scripts that I have written professionally that offer instruction and insight into the use of Korn Shell as a programming language. They are programs, fuctions, and routines ...

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