Fix missing new line

content/sklearn/applications/plot_cyclical_feature_engineering.ipynb

@@ -83,7 +83,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Let us rescale the target variable (number of hourly bike rentals) to predict\na relative demand so that the mean absolute error is more easily interpreted\nas a fraction of the maximum demand.\n\n<div class=\"alert alert-info\"><h4>Note</h4><p>The fit method of the models used in this notebook all minimize the\n    mean squared error to estimate the conditional mean.\n    The absolute error, however, would estimate the conditional median.\n\n    Nevertheless, when reporting performance measures on the test set in\n    the discussion, we choose to focus on the mean absolute error instead\n    of the (root) mean squared error because it is more intuitive to\n    interpret. Note, however, that in this study the best models for one\n    metric are also the best ones in terms of the other metric.</p></div>\n\n"
+        "Let us rescale the target variable (number of hourly bike rentals) to predict\na relative demand so that the mean absolute error is more easily interpreted\nas a fraction of the maximum demand.\n\n<div class=\"alert alert-info\"><h4>Note</h4><p>The fit method of the models used in this notebook all minimize the\n    mean squared error to estimate the conditional mean.\n    The absolute error, however, would estimate the conditional median.\n\n    Nevertheless, when reporting performance measures on the test set in\n    the discussion, we choose to focus on the mean absolute error instead\n    of the (root) mean squared error because it is more intuitive to\n    interpret. Note, however, that in this study the best models for one\n    metric are also the best ones in terms of the other metric.\n\n</p></div>\n\n"
       ]
     },
     {