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docs/api/models/index.rst

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`sklift <../>`_.models
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See :ref:`Models <models>` section of the user guide for further details.
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See :ref:`Models <models>` section of the User guide for further details.
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.. toctree::
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:maxdepth: 3

docs/contributing.md

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#### Python
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We follow the PEP8 style guide for Python. Docstrings follow google style.
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We follow the PEP8 style guide for Python. Docstrings follow [google style](https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html).
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#### Git Commit Messages
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docs/hall_of_fame.rst

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:description lang=en:
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Solutions of machine learning competitions and contests about uplift modeling
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in python where scikit-uplift (sklift) was used
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Hall of Fame
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docs/install.rst

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:description lang=en:
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Installing scikit-uplift (sklift) - python package for uplift modeling in scikit-learn style
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Installation
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docs/tutorials.rst

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:description lang=en:
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See how to build uplift model and predict uplift in python using scikit-uplift (sklift)
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.. _The overview of the basic approaches to solving the Uplift Modeling problem: https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero_EN.ipynb
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.. |Open In Colab1| image:: https://colab.research.google.com/assets/colab-badge.svg
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:target: https://colab.research.google.com/github/maks-sh/scikit-uplift/blob/master/notebooks/RetailHero_EN.ipynb

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