Update ml.rst

docs/scenarios/ml.rst

@@ -2,6 +2,8 @@
 Machine Learning
 ================
 
+.. image:: https://farm4.staticflickr.com/3954/34018729885_002ced9b54_k_d.jpg
+
 Python has a vast number of libraries for data analysis, statistics and Machine Learning itself, making it a language of choice for many data scientists. 
 
 Some widely used packages for Machine Learning and other Data Science applications are enlisted below.
@@ -114,4 +116,4 @@ Since we're splitting randomly and the classifier trains on every iteration, the
 
 The first line contains the labels (i.e flower species) of the testing data as predicted by our classifier, and the second line contains the actual flower species as given in the dataset. We thus get an accuracy of 100% this time.
 
-More on scikit-learn can be read in the `documentation <http://scikit-learn.org/stable/user_guide.html>`_.
+More on scikit-learn can be read in the `documentation <http://scikit-learn.org/stable/user_guide.html>`_.