Data Science me!

Naïve Bayes

Logistic Regression 

The data set

Linear Regression Evaluation

Decision Trees

ROC Curves

R Squared and all of the other great evaluation statistics for a Linear Model

Linear Regression

Regression but nothing like Linear!

Nothing naïve here except, well, the variables, but, don't worry, I'll explain further.

The one your learned in college...if you were lucky enough to have taken statistics that is! 

One of the most simple data mining algorithms, as a data scientist, possible the first non-traditional method to try because its so easy to explain 

How to compare those ROC'n Models, the ROC Curve and how to create manually

The data used in all of the models