Importance of Feature Scaling and Normalization

This segment of the video highlights the significance of data preparation steps like feature scaling and normalization in machine learning. It explains how these processes help stabilize and accelerate the convergence of gradient-based machine learning algorithms, especially when dealing with features of varying scales.

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