DOC Capitalize Kaggle as proper noun
@@ -205,7 +205,7 @@ the best set of parameters. Read more in the :ref:`User Guide
training and testing data. Indeed, since you pre-processed the data
using the whole dataset, some information about the test sets are
available to the train sets. This will lead to over-estimating the
- generalization power of the estimator (you can read more in this `kaggle
+ generalization power of the estimator (you can read more in this `Kaggle
post <https://www.kaggle.com/alexisbcook/data-leakage>`_).
Using a pipeline for cross-validation and searching will largely keep
