DOC: feedback on documentation following v1 release (#717)

Author: FaustinPulveric

README.rst

@@ -78,9 +78,9 @@ MAPIE can be installed in different ways:
 
 Below are two simple examples from `our documentation <https://mapie.readthedocs.io/en/latest/>`_ that show how MAPIE is used in a regression setting and a classification setting:
 
-- `Uncertainty quantification for a regression problem <https://mapie.readthedocs.io/en/latest/examples_regression/1-quickstart/plot_toy_model.html>`_
+- `Uncertainty quantification for a regression task <https://mapie.readthedocs.io/en/latest/examples_regression/1-quickstart/plot_toy_model.html>`_
 
-- `Uncertainty quantification for a classification problem <https://mapie.readthedocs.io/en/latest/examples_classification/1-quickstart/plot_quickstart_classification.html>`_
+- `Uncertainty quantification for a classification task <https://mapie.readthedocs.io/en/latest/examples_classification/1-quickstart/plot_quickstart_classification.html>`_
 
 📝 Contributing
 ===============

doc/v1_release_notes.rst

@@ -273,7 +273,7 @@ Mondrian
 
 The ``MondrianCP`` class is temporarily unavailable in v1. We want to rethink the way we integrate Mondrian to MAPIE, in a future-proof way.
 
-In the mean time, the Mondrian technique can be easily implemented manually: a `tutorial <https://mapie.readthedocs.io/en/v1/examples_mondrian/1-quickstart/plot_main-tutorial-mondrian-regression.html>`_ for tabular regression with Mondrian is available in the documentation. This tutorial demonstrates how to implement Mondrian manually (i.e., without using the ``MondrianCP`` class) on a simple regression example, while shedding light on the benefits of this technique.
+In the mean time, the Mondrian technique can be easily implemented manually: a `tutorial <https://mapie.readthedocs.io/en/latest/examples_mondrian/1-quickstart/plot_main-tutorial-mondrian-regression.html>`_ for tabular regression with Mondrian is available in the documentation. This tutorial demonstrates how to implement Mondrian manually (i.e., without using the ``MondrianCP`` class) on a simple regression example, while shedding light on the benefits of this technique.
 
 
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