Book Content
chapters • 10h24m total length
1. Regression, the workhorse of data science
2. Approaching Regression: Simple Linear Regression
3. Multiple Linear Regression
4. Logistic Regression
5. Data preparation
6. Achieving generalization
7. Online and Batch Learning
8. Beyond linearity
9. Real World Applications for Regression Models
