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CHAPTER 2 - Overview of Supervised Learning
CHAPTER 3 - Model Learning
CHAPTER 4 - Basis Expansion & Regularization
CHAPTER 5 - Model Selection
CHAPTER 6 - Feature Selection
CHAPTER 7 - Data Preparation
CHAPTER 8 - Decision Trees
CHAPTER 9 - Ensemble Models
CHAPTER 10 - Logit Models
CHAPTER 11 - Maximum Margin Models
CHAPTER 12 - Model Tuning
CHAPTER 13 - Model Evaluation
