diff --git a/sklearn/svm/_base.py b/sklearn/svm/_base.py
index f5b35f39a7daf..2e7dd3d6114b6 100644
--- a/sklearn/svm/_base.py
+++ b/sklearn/svm/_base.py
@@ -183,6 +183,9 @@ def fit(self, X, y, sample_weight=None):
 
         If X is a dense array, then the other methods will not support sparse
         matrices as input.
+
+        For an example of handling weighed samples with :class:`svm.SVC`s, please see:
+        :ref:`sphx_glr_auto_examples_svm_plot_weighted_samples.py`
         """
         rnd = check_random_state(self.random_state)
 
diff --git a/sklearn/svm/_classes.py b/sklearn/svm/_classes.py
index 8f243937bccf1..cda34bbf7d093 100644
--- a/sklearn/svm/_classes.py
+++ b/sklearn/svm/_classes.py
@@ -843,7 +843,7 @@ class SVC(BaseSVC):
     >>> print(clf.predict([[-0.8, -1]]))
     [1]
 
-    For a comparison of the SVC with other classifiers see:
+    For an example on how to enable probability estimates for SVC, see:
     :ref:`sphx_glr_auto_examples_classification_plot_classification_probability.py`.
     """