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</html><description>Description: Input feature normalization is a fundamental process in data preprocessing, which involves scaling input features to ensure they are on the same scale during model training. This process is crucial because features can have different units and ranges, which can lead to some features dominating others in the training process. Normalization helps improve the [&hellip;]</description></oembed>
