Machine Learning & Training

What Is Feature Engineering?

Feature engineering is the practice of transforming raw data into meaningful input features that help a model learn more effectively. It can involve combining variables, extracting new attributes, or encoding information in useful ways. Well-designed features can significantly improve a model's accuracy.

Further reading

Read more about feature engineering — articles and blogs from around the web: