Inconsistent use of ColumnTransformer and make_column_transformer

[ArturoAmorQ]

Most of the notebooks use ColumnTransformer

glossary.md
predictive_modeling_module_take_away.md:
wrap_up_quiz 1
03_categorical_pipeline_column_transformer.py
03_categorical_pipeline_ex_02.py
03_categorical_pipeline_sol_02.py
parameter_tuning_ex_02.py and parameter_tuning_sol_02.py
parameter_tuning_ex_03.py and parameter_tuning_sol_03.py
parameter_tuning_grid_search.py
parameter_tuning_nested.py
parameter_tuning_randomized_search.py

On the other hand, make_column_transformer is only used in

ensemble_random_forest.py
wrap_up_quiz 1
wrap_up_quiz 4
wrap_up_quiz 5

I recommend keeping either one or the other to avoid possible confusion.
Keeping make_column_transformer means more editing in the present contents but will reduce variance naming (and therefore calling) the transformers. What do you think?

[glemaitre]

I recommend keeping either one or the other to avoid possible confusion.

I would use both but make sure that we present both. We should have the same issue with Pipeline and make_pipeline. I see that we do a slightly better job stating that make_pipeline is creating a Pipeline. But I think it would be worth showing how to create a Pipeline directly.

The reason to use both is that there are time where you want to use one or another, specifically.