📝 Fix links in Readme

Readme.rst

@@ -53,7 +53,7 @@ More about uplift modelling problem read in russian on habr.com: `Part 1`_ and `
 
 * Applying any estimator adheres to scikit-learn conventions;
 
-* All approaches can be used in sklearn.pipeline (see example (`EN <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_EN.ipynb>`_ |Open In Colab3|_, `RU <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_RU.ipynb>`_ |Open In Colab4|_))
+* All approaches can be used in sklearn.pipeline (see example (`EN <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_EN.ipynb>`__ |Open In Colab3|_, `RU <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_RU.ipynb>`__ |Open In Colab4|_))
 
 * Almost all implemented approaches solve both the problem of classification and regression;
 
@@ -96,7 +96,7 @@ And if you now point your browser to ``_build/html/index.html``, you should see
 Quick Start
 -----------
 
-See the **RetailHero tutorial notebook** (`EN <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero_EN.ipynb>`_ |Open In Colab1|_, `RU <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero.ipynb>`_ |Open In Colab2|_) for details.
+See the **RetailHero tutorial notebook** (`EN <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero_EN.ipynb>`__ |Open In Colab1|_, `RU <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero.ipynb>`__ |Open In Colab2|_) for details.
 
 **Train and predict uplift model**
 

docs/tutorials.rst

@@ -20,9 +20,9 @@ Basic
 It is better to start scikit-uplift from the basic tutorials.
 
 * `The overview of the basic approaches to solving the Uplift Modeling problem`_
-    * In English: `nbviewer <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero_EN.ipynb>`_ | `github <https://github.com/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero_EN.ipynb>`_   |Open In Colab1|
-    * In Russian: `nbviewer <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero.ipynb>`_ | `github <https://github.com/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero.ipynb>`_   |Open In Colab2|
+    * In English: `nbviewer <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero_EN.ipynb>`__ | `github <https://github.com/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero_EN.ipynb>`__   |Open In Colab1|
+    * In Russian: `nbviewer <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero.ipynb>`__ | `github <https://github.com/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero.ipynb>`__   |Open In Colab2|
 
 * `Example of usage model from sklift.models in sklearn.pipeline`_
-    * In English: `nbviewer <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_EN.ipynb>`_ | `github <https://github.com/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_EN.ipynb>`_   |Open In Colab3|
-    * In Russian: `nbviewer <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_RU.ipynb>`_ | `github <https://github.com/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_RU.ipynb>`_   |Open In Colab4|
+    * In English: `nbviewer <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_EN.ipynb>`__ | `github <https://github.com/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_EN.ipynb>`__   |Open In Colab3|
+    * In Russian: `nbviewer <https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_RU.ipynb>`__ | `github <https://github.com/maks-sh/scikit-uplift/blob/master/notebooks/pipeline_usage_RU.ipynb>`__   |Open In Colab4|