Table of Contents
- Regression, the workhorse of data science
- Approaching Regression: Simple Linear Regression
- Multiple Linear Regression
- Logistic Regression
- Data preparation
- Achieving generalization
- Online and Batch Learning
- Beyond linearity
- Real World Applications for Regression Models

