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Feature Engineering

[ˈfiːtʃər ˌendʒɪˈnɪərɪŋ]
Data Science
Last updated: December 9, 2024

Definition

The process of creating new variables from existing data to improve model performance.

Detailed Explanation

Feature engineering involves using domain knowledge and mathematical transformations to create new variables that better represent the underlying patterns in data. This includes techniques like polynomial features interaction terms temporal features and domain-specific transformations.

Use Cases

1. Credit risk modeling 2. Customer churn prediction 3. Fraud detection systems 4. Recommendation engines

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