Goals (Progress):

Hypothesis Testing (.8)
Linear Regression – Simple, Multiple (1,.8)
Other Regressions – Non-Linear, Regression Trees (0)
– Assumption Checking and Model Validation for Regressions (.5)
Classification Systems – Logit (0), Decision Trees (.8), Artificial Neural Networks, (.8)
Ensemble Methods – Boosting, Bagging (1), Random Forest (.8)
Unguided Learning Algorithms (0)

Linear Regression in R (1), SAS (0)
Multiple Regression in R (1), SAS (0)
ANN in R (.8), SAS(0)
Trees in R (.8), SAS(0)
RF in R (.8), SAS(0)
Logistic Regression in R (0), SAS (0)