Feature Engineering: Techniques for Better Models

The Art of Feature Engineering

Feature engineering transforms raw data into inputs that better represent the underlying problem, often determining model success.

Why It Matters

Basic Techniques

Transformations

Scaling

Encoding

Advanced Techniques

Interaction Features

Aggregations

Domain-Specific

Automated Feature Engineering

Tools

Deep Learning

Feature Selection

Filter Methods

Wrapper Methods

Embedded Methods

Best Practices

Conclusion

Effective feature engineering is often the difference between good and great models.