Chapter 4. Building Data Science Models
In this chapter, we will cover the following recipes:
- Dimensionality reduction
- Linear discriminant analysis
- Data preprocessing
- Linear regression
- Score-based classification
- Clustering
- Bayesian basics
- Time series analysis