bonus material 1

kunalsekhri · Dec 1, 2015 · a3e5754 · a3e5754
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@@ -72,6 +72,12 @@ Excerpts from the [Foreword](./docs/foreword_ro.pdf) and [Preface](./docs/prefac
 12. Training Artificial Neural Networks for Image Recognition [[dir](./code/ch12)] [[ipynb](./code/ch12/ch12.ipynb)] [[nbviewer](http://nbviewer.ipython.org/github/rasbt/python-machine-learning-book/blob/master/code/ch12/ch12.ipynb)]
 13. Parallelizing Neural Network Training via Theano [[dir](./code/ch13)] [[ipynb](./code/ch13/ch13.ipynb)] [[nbviewer](http://nbviewer.ipython.org/github/rasbt/python-machine-learning-book/blob/master/code/ch13/ch13.ipynb)]
 
+Bonus Notebooks (not in the book)
+
+- An Extended Nested Cross-Validation Example [[dir](./code/bonus)] [[ipynb](./code/bonus/nested_cross_validation.ipynb)] [[nbviewer](http://nbviewer.ipython.org/github/rasbt/python-machine-learning-book/blob/master/code/bonus/nested_cross_validation.ipynb)]
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 ## FAQ
 

diff --git a/code/bonus/README.md b/code/bonus/README.md
@@ -0,0 +1,9 @@
+Sebastian Raschka, 2015
+
+Python Machine Learning - Code Examples
+
+## Bonus Material
+
+A collection of additional notebooks and examples to clarify and explain concepts based on reader feedback.
+
+- An Extended Nested Cross-Validation Example [[GitHub ipynb](./nested_cross_validation.ipynb)] [[nbviewer](http://nbviewer.ipython.org/github/rasbt/python-machine-learning-book/blob/master/code/bonus/nested_cross_validation.ipynb)]