references.txt

## References

Scikit learn documentation:
http://scikit-learn.org/

How to create a custom legend in matplotlib
https://matplotlib.org/users/legend_guide.html

Ideas for tuning a decision tree:
http://chrisstrelioff.ws/sandbox/2015/06/25/decision_trees_in_python_again_cross_validation.html

Some tips on how to tune gridsearch for scores from:
https://www.kaggle.com/kevinarvai/fine-tuning-a-classifier-in-scikit-learn

Documentary on Enron which provided backstory and useful information:
https://en.wikipedia.org/wiki/Enron:_The_Smartest_Guys_in_the_Room

Udacity's Data Analyst nanodegree program for supporting code and lessons:
https://www.udacity.com/course/data-analyst-nanodegree--nd002

I hereby confirm that this submission is my work. I have cited above the origins of any parts of the submission that were taken from Websites, books, forums, blog posts, github repositories, etc.