Add Demo Notebook for Calibrated Equalized Odds Method in Sklearn-Compatible Side

[mnagired]

Refer to here for examples of other demo notebooks.

[hoffmansc]

See also: demo_new_features.ipynb and On Fairness and Calibration (and possibly #365)

Notebooks should show off a use-case for the algorithm on a known dataset, explain other ways to use it/optional arguments, compare the results before and after, and indicate what metrics are important to monitor. Bonus points for pretty visualizations and in-depth explanation of the algorithm.