A good pipeline engineering in machine learning

The following is taken from Engineering Practices in Data Science. Machine learning project must have the following well defined (and followed!) phases:

data ingestion -> feature extraction -> training -> ensembling -> validation

“This allows disciplined data scientists to try out a lot more ideas than someone with a pile of spaghetti Python code”.

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