add: bootstrapping and bagging jupyter notebook

Author: cosmic-cortex

docs/source/content/examples/bootstrapping_and_bagging.ipynb

@@ -40,8 +40,8 @@ modAL is an active learning framework for Python3, designed with *modularity, fl
    content/examples/active_regression
    content/examples/ensemble_regression
    content/examples/bayesian_optimization
-   content/examples/Query-by-committee
-   content/examples/Bootstrapping-and-bagging
+   content/examples/query_by_committee
+   content/examples/bootstrapping_and_bagging
    content/examples/Keras-integration
 
 .. toctree::
@@ -53,5 +53,6 @@ modAL is an active learning framework for Python3, designed with *modularity, fl
    content/apireference/uncertainty.rst
    content/apireference/disagreement.rst
    content/apireference/acquisition.rst
+   content/apireference/batch.rst
    content/apireference/density.rst
    content/apireference/utils.rst

docs/source/content/examples/query_by_committee.ipynb

@@ -60,7 +60,7 @@
         plt.title('Learner no. %d' % (learner_idx + 1))
     plt.show()
 
-# visualizing the Committee's predictions per learner
+# visualizing the Committee's predictions
 with plt.style.context('seaborn-white'):
     plt.figure(figsize=(7, 7))
     plt.imshow(committee.predict(X_pool).reshape(im_height, im_width))