Categorical and Numeric Data in Scikit-Learn Pipelines

I always tend to organize every aspect of my experiments with organizers as useful as Pipeline. However, one shouldn’t be passing continuous variables into a OneHotEncoder or vice versa for Scalers. The solution is, split your data, treat them in separate pipelines before merging them together again. Inspired by Scikit Learn Examples.

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