Mlconjug3

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* Added support for pipenv environments.
* | Added mlconjug3 to conda-forge_.
| It is especially useful if you want to install mlconjug3 on a MacBook with an Apple M1 processor.
* Now mlconjug3 can be installed using:

.. code-block:: console

$ conda install -c conda-forge mlconjug3

* Updated documentation.
* Updated dependencies.


.. _`GitHub Actions Workflows`: https://github.com/Ars-Linguistica/mlconjug3/actions
.. _conda: https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html
.. _conda-forge: https://anaconda.org/conda-forge/

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* Updated documentation.
* Updated dependencies.

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* Updated documentation.
* Retrained all models with scikit-learn 0.24.1
* Updated dependencies.

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* Updated documentation.
* Fixed issue89.
* Added more examples
* Updated dependencies.

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* Updated documentation.
* Added code highnliting for examples.
* Added more examples
* Updated dependencies.

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* Updated documentation.
* Updated dependencies.