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In this video tutorial from Normalized Nerd, the host talks about feature scaling and normalization. Feature scaling involves adjusting the values of a feature like x in a dataset. This can be done by dividing or subtracting values to change the distribution of the feature. Scaling helps to bring all features to the same range for better model performance. So, let's start by understanding the concept and its application in data preprocessing.