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
• Simplifying a machine learning workflow using TensorFlow
• Implementing the stacking method