What techniques can you use to engineer features in an ML project?
Feature engineering is the process of transforming raw data into meaningful and useful features for machine learning (ML) models. It can improve the performance, accuracy, and interpretability of your ML models, as well as reduce the complexity and computational cost. In this article, you will learn about some common techniques that you can use to engineer features in an ML project.