ch06 up

Author: rasbt

README.md

@@ -36,8 +36,8 @@ Excerpts from the [Foreword](./docs/foreword_ro.pdf) and [Preface](./docs/prefac
 2. Training Machine Learning Algorithms for Classification [[./code/ch02](./code/ch02)] [[ipynb](./code/ch02/ch02.ipynb)] [[nbviewer](http://nbviewer.ipython.org/github/rasbt/python-machine-learning-book/blob/master/code/ch02/ch02.ipynb)]
 3. A Tour of Machine Learning Classifiers Using Scikit-Learn [[./code/ch03](./code/ch03)] [[ipynb](./code/ch03/ch03.ipynb)] [[nbviewer](http://nbviewer.ipython.org/github/rasbt/python-machine-learning-book/blob/master/code/ch03/ch03.ipynb)]
 4. Building Good Training Sets – Data Pre-Processing [[./code/ch04](./code/ch04)] [[ipynb](./code/ch04/ch04.ipynb)] [[nbviewer](http://nbviewer.ipython.org/github/rasbt/python-machine-learning-book/blob/master/code/ch04/ch04.ipynb)]
-5. Compressing Data via Dimensionality Reduction [[./code/ch05](./code/ch05)] [[ipynb](./code/ch05/ch05.ipynb)] [[nbviewer](http://nbviewer.ipython.org/github/rasbt/python-machine-learning-book/blob/master/code/ch05/ch05.ipynb)] [nbviewer)]
-6. Learning Best Practices for Model Evaluation and Hyperparameter Optimization
+5. Compressing Data via Dimensionality Reduction [[./code/ch05](./code/ch05)] [[ipynb](./code/ch05/ch05.ipynb)] [[nbviewer](http://nbviewer.ipython.org/github/rasbt/python-machine-learning-book/blob/master/code/ch05/ch05.ipynb)] 
+6. Learning Best Practices for Model Evaluation and Hyperparameter Optimization [[./code/ch06](./code/ch06)] [[ipynb](./code/ch06/ch06.ipynb)] [[nbviewer](http://nbviewer.ipython.org/github/rasbt/python-machine-learning-book/blob/master/code/ch06/ch06.ipynb)]
 7. Combining Different Models for Ensemble Learning
 8. Applying Machine Learning to Sentiment Analysis
 9. Embedding a Machine Learning Model into a Web Application