I'm wondering if there is a list anywhere of the most commonly used transformations that people use in a machine learning pipeline - particularly in Python and scikit-learn.

Additionally, are there any resources online that are dedicated to what transformations in the pipeline typically go together? For instance, I've seen in a few areas that standardization often comes before PCA, and it would definitely be useful to me to see what pairs or triplets of transformations might commonly be used together.



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