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Chapter 3. Predictive Modeling
In this chapter, we will cover the following recipes:
- Building a linear classifier using Support Vector Machines (SVMs)
- Building a nonlinear classifier using SVMs
- Tackling class imbalance
- Extracting confidence measurements
- Finding optimal hyperparameters
- Building an event predictor
- Estimating traffic