About
In Feature engineering, you are:
- creating derived features
- normalize them
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Example
Fraud detection
- Aggregated variables. Example: aggregated transaction count per account in last 24 hours to spot abnormal amount
- Mismatch variables. Example: delivery country <> normal delivery country
- Risk tables. Probability Risks grouped by country, state, IP Address, etc..