In this program
- Train/validation/test splits
- Feature engineering and encoding
- Handling missing values
- Outliers
- Dimensionality reduction: PCA for mining
- Class imbalance strategies
Data preparation
Feature engineering and encoding
Data mining · Standard syllabus
Topic
Feature engineering and encoding
Undergraduate Data mining — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).