The Importance of Feature Engineering in Building Machine Learning Models
Feature engineering is one of the most crucial steps in building effective machine learning models. As a critical part of the data preprocessing pipeline, it involves creating new features or transforming existing ones to optimize data for a specific problem or task. The goal is to enhance the performance, efficiency, and interpretability of machine learning…