Chapter 5. Example: NYC taxi data
6.1. Data: NYC taxi trip and fare information
6.1.1. Visualizing the data
6.1.2. Defining the problem and preparing the data
6.2.1. Basic linear model
6.2.2. Nonlinear classifier
6.2.3. Including categorical features
6.2.4. Including date-time features
6.4. Terms from this chapter
What’s inside
