diff --git a/sklearn/svm/_classes.py b/sklearn/svm/_classes.py
index 97789ae36df48..664c7443045d2 100644
--- a/sklearn/svm/_classes.py
+++ b/sklearn/svm/_classes.py
@@ -1163,6 +1163,8 @@ class SVR(RegressorMixin, BaseLibSVM):
          Specifies the kernel type to be used in the algorithm.
          If none is given, 'rbf' will be used. If a callable is given it is
          used to precompute the kernel matrix.
+         For an intuitive visualization of different kernel types
+         see :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py`
 
     degree : int, default=3
         Degree of the polynomial kernel function ('poly').
@@ -1361,6 +1363,8 @@ class NuSVR(RegressorMixin, BaseLibSVM):
          Specifies the kernel type to be used in the algorithm.
          If none is given, 'rbf' will be used. If a callable is given it is
          used to precompute the kernel matrix.
+         For an intuitive visualization of different kernel types see
+         See :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py`
 
     degree : int, default=3
         Degree of the polynomial kernel function ('poly').