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In the initial dummy notebook suggest ways for applying ColumnTransformer before the pipelining step in a efficient manner. Discuss here what you think must be done. Pull requests are appreciated.
The text was updated successfully, but these errors were encountered:
we can use it to handle preprocessing for both numerical and categorical columns in a single step.
By applying transformations like scaling, encoding, and imputation within ColumnTransformer, we can streamline the process and ensure consistent data handling across the dataset.
In the initial dummy notebook suggest ways for applying ColumnTransformer before the pipelining step in a efficient manner. Discuss here what you think must be done. Pull requests are appreciated.
The text was updated successfully, but these errors were encountered: