How to process categorical and real features separately in Pipeline sklearn?

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Matvey Nosurname2021-11-01 18:19:45

Machine learning

Matvey Nosurname, 2021-11-01 18:19:45

How to process categorical and real features separately in Pipeline sklearn?

I just started practicing in DataScience and learned about such a useful thing as Pipeline. I practice on the Titanic dataset. I want to separately process categorical features (i.e. encode them through OneHotEncoding), normalize real features and discard unnecessary features (and also fill in the gaps). How can I do this through a sequence of pipelines?

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