2.2. Feature Engineering

Following steps:

1. Feature extraction

2. Explore data analysis

3. Missing Data Imputation

4. Categorical Variable Encoding

5. Numerical Variable Transformation

6. Discretisation

7. Outlier Handling

8. Feature Scaling

• 2.2.1. Customize Transformer
• 2.2.2. Feature Extraction
• 2.2.3. Variable Overview
• 2.2.4. Missing Imputation
• 2.2.5. Categorical Encoding
• 2.2.6. Feature Transformation
• 2.2.7. Discretisation
• 2.2.8. Outliers Handling
• 2.2.9. Feature Scaling
• 2.2.10. Feature Selection