DOC Added links for random_datasets example (scikit-learn#27056)

Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>

Author: Tialo

sklearn/datasets/_samples_generator.py

@@ -93,6 +93,9 @@ def make_classification(
     Thus, without shuffling, all useful features are contained in the columns
     ``X[:, :n_informative + n_redundant + n_repeated]``.
 
+    For an example of usage, see
+    :ref:`sphx_glr_auto_examples_datasets_plot_random_dataset.py`.
+
     Read more in the :ref:`User Guide <sample_generators>`.
 
     Parameters
@@ -887,6 +890,9 @@ def make_blobs(
 ):
     """Generate isotropic Gaussian blobs for clustering.
 
+    For an example of usage, see
+    :ref:`sphx_glr_auto_examples_datasets_plot_random_dataset.py`.
+
     Read more in the :ref:`User Guide <sample_generators>`.
 
     Parameters
@@ -1802,6 +1808,9 @@ def make_gaussian_quantiles(
     concentric multi-dimensional spheres such that roughly equal numbers of
     samples are in each class (quantiles of the :math:`\chi^2` distribution).
 
+    For an example of usage, see
+    :ref:`sphx_glr_auto_examples_datasets_plot_random_dataset.py`.
+
     Read more in the :ref:`User Guide <sample_generators>`.
 
     Parameters