 the basics of using six supervised machine learning algorithms in R:  

- OLS regression  
- Lasso  
- Decision tree  
- Random forest  
- Boosting  
- SuperLearner  
  
### 2) Vizualize important information:  
- Lasso coefficient paths  
- Decision trees  
- Random forest variable importance  
- AUC from different boosting models  
- SuperLearner cross-validated risk   

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# Workshop goals

### 3) Examine the performance of these models  
* (Root) mean-squared error, lasso penalization coefficient  
*