Scaling, Normalization, Min Max.
features, preventing variables with larger scales from dominating the learning process. This aids algorithms sensitive to feature magnitudes, such as gradient descent-based methods, ensuring a more balanced and effective model training. Feature scaling enhances model convergence, stability, and