[MRG] DOC Update README.rst (scikit-learn-contrib#301)

* Update README.rst

Minor shortening of url

* Update CONTRIBUTING.md

-Clean up urls
-Made explicit HTTPS calls

Author: alanyee

CONTRIBUTING.md

@@ -1,7 +1,7 @@
 Contributing code
 =================
 
-This guide is adapted from (scikit-learn)[https://github.com/scikit-learn/scikit-learn/blob/master/CONTRIBUTING.md]
+This guide is adapted from [scikit-learn](https://github.com/scikit-learn/scikit-learn/blob/master/CONTRIBUTING.md).
 
 How to contribute
 -----------------
@@ -40,7 +40,7 @@ and click 'Pull request' to send your changes to the maintainers for
 review. This will send an email to the committers.
 
 (If any of the above seems like magic to you, then look up the
-[Git documentation](http://git-scm.com/documentation) on the web.)
+[Git documentation](https://git-scm.com/documentation) on the web.)
 
 Contributing Pull Requests
 --------------------------
@@ -125,8 +125,8 @@ It is recommended to check that your issue complies with the
 following rules before submitting:
 
 -  Verify that your issue is not being currently addressed by other
-   [issues](https://github.com/scikit-learn-contrib/imbalanced-learn/issues?q=)
-   or [pull requests](https://github.com/scikit-learn-contrib/imbalanced-learn/pulls?q=).
+   [issues](https://github.com/scikit-learn-contrib/imbalanced-learn/issues)
+   or [pull requests](https://github.com/scikit-learn-contrib/imbalanced-learn/pulls).
 
 -  Please ensure all code snippets and error messages are formatted in
    appropriate code blocks.
@@ -147,7 +147,7 @@ following rules before submitting:
 
 -  Please be specific about what estimators and/or functions are involved
    and the shape of the data, as appropriate; please include a
-   [reproducible](http://stackoverflow.com/help/mcve) code snippet
+   [reproducible](https://stackoverflow.com/help/mcve) code snippet
    or link to a [gist](https://gist.github.com). If an exception is raised,
    please provide the traceback.
 
@@ -167,9 +167,9 @@ be placed in _build/html/ and are viewable in a web browser. See the
 README file in the doc/ directory for more information.
 
 For building the documentation, you will need
-[sphinx](http://sphinx.pocoo.org/),
-[matplotlib](http://matplotlib.sourceforge.net/), and
-[pillow](http://pillow.readthedocs.org/en/latest/).
+[sphinx](http://sphinx-doc.org),
+[matplotlib](https://matplotlib.org), and
+[pillow](https://pillow.readthedocs.io).
 
 When you are writing documentation, it is important to keep a good
 compromise between mathematical and algorithmic details, and give

README.rst

@@ -96,7 +96,7 @@ Development
 The development of this scikit-learn-contrib is in line with the one
 of the scikit-learn community. Therefore, you can refer to their
 `Development Guide
-<http://scikit-learn.org/stable/developers/index.html>`_.
+<http://scikit-learn.org/stable/developers>`_.
 
 About
 -----
@@ -112,7 +112,7 @@ citations to the following paper::
   volume  = {18},
   number  = {17},
   pages   = {1-5},
-  url     = {http://jmlr.org/papers/v18/16-365.html}
+  url     = {http://jmlr.org/papers/v18/16-365}
   }
 
 Most classification algorithms will only perform optimally when the number of
@@ -162,7 +162,7 @@ Below is a list of the methods currently implemented in this module.
 
 The different algorithms are presented in the sphinx-gallery_.
 
-.. _sphinx-gallery: http://contrib.scikit-learn.org/imbalanced-learn/auto_examples/index.html
+.. _sphinx-gallery: http://contrib.scikit-learn.org/imbalanced-learn/auto_examples
 
 
 References: