MODULE 1 : NORMAL-EQ-REGRESSION, DECISION TREES 
TOPICS
* Administrative
* Intro to ML,  Matrix Data 
* Rule-based Classifiers
* Decision/Regression Trees
* Linear Regression
* Setup, Cross Validation
* Error, Accuracy, ROC, AUC