DOC Handling of NaNs in preprocessing is an enhancement

Author: jnothman

doc/whats_new/v0.20.rst

@@ -88,9 +88,6 @@ Preprocessing
   :issue:`10210` by :user:`Eric Chang <ericchang00>` and
   :user:`Maniteja Nandana <maniteja123>`.
 
-- :class:`preprocessing.QuantileTransformer` handles and ignores NaN values.
-  :issue:`10404` by :user:`Guillaume Lemaitre <glemaitre>`.
-
 - Added the :class:`compose.TransformedTargetRegressor` which transforms
   the target y before fitting a regression model. The predictions are mapped
   back to the original space via an inverse transform. :issue:`9041` by
@@ -101,9 +98,6 @@ Preprocessing
   other features in a round-robin fashion. :issue:`8478` by
   :user:`Sergey Feldman <sergeyf>`.
 
-- Updated :class:`preprocessing.MinMaxScaler` to pass through NaN values. :issue:`10404`
-  by :user:`Lucija Gregov <LucijaGregov>`.
-
 Model evaluation
 
 - Added the :func:`metrics.cluster.davies_bouldin_index` metric for unsupervised
@@ -218,6 +212,12 @@ Preprocessing
   classes found which are ignored.
   :issue:`10913` by :user:`Rodrigo Agundez <rragundez>`.
 
+- :class:`preprocessing.QuantileTransformer` handles and ignores NaN values.
+  :issue:`10404` by :user:`Guillaume Lemaitre <glemaitre>`.
+
+- Updated :class:`preprocessing.MinMaxScaler` to pass through NaN values.
+  :issue:`10404` by :user:`Lucija Gregov <LucijaGregov>`.
+
 Model evaluation and meta-estimators
 
 - A scorer based on :func:`metrics.brier_score_loss` is also available.