Machine Learning & Training

What Is Feature Scaling?

Feature scaling transforms input features so they share a comparable range or distribution. This is important for algorithms that are sensitive to the magnitude of inputs, such as gradient descent and distance-based methods. Common scaling techniques include normalization and standardization.