Synchronize quizzes

Author: ArturoAmorQ

jupyter-book/predictive_modeling_pipeline/wrap_up_quiz.md

@@ -167,3 +167,12 @@ model using only numerical features lies in the range:
 
 _Select a single answer_
 ```
+
++++
+
+```{note}
+It is normal for this module to take longer than expected for people who are
+discovering Python programming, but don't get discouraged! The programming
+mechanisms will come with experience and the programming exercises in the
+following modules will seem more and more natural as time goes by.
+```

jupyter-book/tuning/parameter_tuning_wrap_up_quiz.md

@@ -157,7 +157,9 @@ Use `sklearn.model_selection.GridSearchCV` to study the impact of the choice of
 the preprocessor and the number of neighbors on the stratified 10-fold
 cross-validated `balanced_accuracy` metric. We want to study the `n_neighbors`
 in the range `[5, 51, 101]` and `preprocessor` in the range
-`all_preprocessors`.
+`all_preprocessors`. Although we wouldn't do this in a real setting (and
+prefer using nested cross validation), for this question, do the
+cross-validation on the entire dataset.
 
 Which of the following statements hold: