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Chapter 01 Gearing Up for Predictive Modeling
Chapter 02 Tidying Data and Measuring Performance
Chapter 03 Linear Regression
Chapter 04 Generalized Linear Models
Chapter 05 Neural Networks
Chapter 06 Support Vector Machines
Chapter 07 Tree-Based Methods
Chapter 08 Dimensionality Reduction
Chapter 09 Ensemble Methods
Chapter 10 Probabilistic Graphical Models
Chapter 11 Topic Modeling
Chapter 12 Recommendation Systems
Chapter 13 Scaling Up
Chapter 14 Deep Learning
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