Feature importance in pipeline

M3. Hyperparameter tuning M3. Exercise M3.02
#1

This is a bit out of scope but I was wondering how we can get the importance of the features in a model (e.g., LogisticRegression, DecionTree, etc) when we use sklearn pipeline?

#2

We have a Module on feature importance in the static version of the MOOC. This is not covered in the FUN version as it is still work in progress.

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