Chapter 4. Clustering, Classification, and Regression
In this chapter, we will cover the following recipes:
- Introduction
- Applying regression analysis for sales data
- Variable identification
- Data exploration
- Feature engineering
- Applying linear regression
- Applying logistic regression on bank marketing data
- Variable identification
- Data exploration
- Feature engineering
- Applying logistic regression
- Real-time intrusion detection using streaming k-means
- Variable identification
- Producer code generating real-time data
- Applying streaming k-means
