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
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