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bfortuner committed Apr 24, 2017
2 parents a647360 + f40c692 commit e6be7db
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3 changes: 2 additions & 1 deletion README.md
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# Machine Learning Cheatsheet

[View The Cheatsheet](http://ml-glossary.readthedocs.io/en/latest/)
[View The Cheatsheet](http://ml-cheatsheet.readthedocs.io/en/latest/)

## How To Contribute

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# Assumes you have the usual suspects installed: numpy, scipy, etc..
pip install sphinx sphinx-autobuild
pip install sphinx_rtd_theme
pip install recommonmark
```

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2 changes: 1 addition & 1 deletion docs/linear_regression.rst
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Introduction
============

Linear Regression :ref:`attribute <glossary_attribute>` is a supervised machine learning algorithm where the predicted output is continuous and has a constant slope. Is used to predict values within a continuous range. (e.g. sales, price) rather than trying to classify them into categories (e.g. cat, dog). There are two main types:
Linear Regression is a supervised machine learning algorithm where the predicted output is continuous and has a constant slope. Is used to predict values within a continuous range. (e.g. sales, price) rather than trying to classify them into categories (e.g. cat, dog). There are two main types:

.. rubric:: Simple regression

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