Feature Engineering

Updated May 12, 2023 ·

Overview

After designing a machine learning model, the next step is feature engineering.

Feature engineering involves selecting, modifying, and creating useful variables (features) from raw data. These features help the model make better predictions.

• Feature: A measurable property, like a column in a table.
• Raw vs. Engineered Features: We can use existing data or create new features.

For more information, please see Feature Engineering in ML Lifecycle