#42 Full Stack Data Science
DataFramed
00:00
The Six Steps to a Workflow
Having a work flo i think there's really no reason not to use the word flow. And we follow that up with data understanding, then data preparation, modelling, evaluation and deployment. At any of these steps, you may find you need to revisit an earlier step to refine your understanding. So for you might start modelling and realize your model doesn't capture some key aspect of behavior,. You need to go get some other data set to provide that information. Then what? Well, finally, you need to evaluate and deploy the model because that's where the rubber meets the road.
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