DOC more minor fixes

doc/modules/pipeline.rst

@@ -14,7 +14,7 @@ and classification. :class:`Pipeline` serves two purposes here:
     **Convenience**: You only have to call ``fit`` and ``predict`` once on your 
     data to fit a whole sequence of estimators.
     
-    **Joint parameter selection**: You can :ref:`grid_search <grid search>`
+    **Joint parameter selection**: You can :ref:`grid search <grid_search>`
     over parameters of all estimators in the pipeline at once.
 
 For estimators to be usable within a pipeline, all except the last one need to have

doc/tutorial/statistical_inference/supervised_learning.rst

@@ -334,6 +334,7 @@ application of Occam's razor: `prefer simpler models`.
      -187.19554705   69.38229038  508.66011217   71.84239008]
 
 .. topic:: **Different algorithms for a same problem**
+
     Different algorithms can be used to solve the same mathematical
     problem. For instance the `Lasso` object in the `scikit-learn`
     solves the lasso regression using a