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This video tutorial discusses feature scaling and normalization. Feature scaling involves adjusting the values of a feature in a dataset to a certain range. An example is shown using a continuous feature x, where values are divided by 2 to shrink the histogram. Other methods include subtracting and dividing by different numbers. Feature scaling is important in data preprocessing to ensure accurate analysis.
