Project 1: Hello, world!
Reflection 1: Locally Weighted Regression (Cleveland and Devlin)
Project 2: Lowess vs. Random Forest Regression
Project 3: XGBoosting of Regression Models
Project 4: A Novel Boosting Method and Exploring LightGBM
Project 5: Regularization and Variable Selection
Project 6: Final Project Proposal
Final Project 6: Predicting Saturated fat Consumption to Gauge Diet Quality in Child WIC Participants