What is the difference between feature engineering and feature selection?

What is the difference between feature engineering and feature selection?

Feature engineering involves creating new features from raw data, while feature selection is about choosing the most relevant features.

Can you give me examples of feature engineering?

Sure! Examples include creating interaction terms, polynomial features, or aggregating data to create summary statistics.

And what about feature selection methods?

Common methods include filter methods, wrapper methods, and embedded methods like Lasso regression.

When should I use feature engineering over feature selection?

Use feature engineering when you need to enhance your dataset, and feature selection when you want to reduce dimensionality.