DOC Fix typos in datasets documentation
@@ -50,7 +50,7 @@ These functions return a tuple ``(X, y)`` consisting of a ``n_samples`` *
``n_features`` numpy array ``X`` and an array of length ``n_samples``
containing the targets ``y``.
-In addition, there are also miscellanous tools to load datasets of other
+In addition, there are also miscellaneous tools to load datasets of other
formats or from other locations, described in the :ref:`loading_other_datasets`
section.
@@ -171,8 +171,9 @@ near-equal-size classes separated by concentric hyperspheres.
:func:`make_circles` and :func:`make_moons` generate 2d binary classification
datasets that are challenging to certain algorithms (e.g. centroid-based
clustering or linear classification), including optional Gaussian noise.
-They are useful for visualisation. produces Gaussian
-data with a spherical decision boundary for binary classification.
+They are useful for visualisation. :func:`make_circles` produces Gaussian data
+with a spherical decision boundary for binary classification, while
+:func:`make_moons` produces two interleaving half circles.
Multilabel
~~~~~~~~~~
@@ -261,7 +262,7 @@ Sample images
-------------
Scikit-learn also embed a couple of sample JPEG images published under Creative
-Commons license by their authors. Those image can be useful to test algorithms
+Commons license by their authors. Those images can be useful to test algorithms
and pipeline on 2D data.
.. autosummary::
