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The video tutorial discusses feature scaling and normalization, aiming to clear misconceptions. Feature scaling involves adjusting the range of values of a feature in a dataset. An example is shown where each value of a feature is divided by 2, shrinking the histogram. Further examples include subtracting a number before division. Normalization helps compare different features on the same scale. The tutorial emphasizes the importance of pre-processing data for better analysis.