What are some practical examples of feature engineering?

What are some practical examples of feature engineering?

Feature engineering involves creating new features from existing data to improve model performance. For example, in a housing price prediction model, you might create a feature for 'price per square foot' by dividing the total price by the square footage.

Can you give another example?

Sure! In a customer churn prediction model, you could create a feature that represents the 'average purchase frequency' by calculating how often a customer makes a purchase over a specific period.

What tools can I use for feature engineering?

Popular tools for feature engineering include Python libraries like Pandas and Scikit-learn, as well as platforms like Featuretools for automated feature generation.

How do I know which features to engineer?

You can start by analyzing feature importance from your model, using domain knowledge, and experimenting with different features to see their impact on model performance.