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In this video tutorial, the host introduces the concept of feature scaling and normalization. Feature scaling involves adjusting the scale of a feature to improve analysis. An example is shown where every value of a continuous feature is divided by 2, shrinking the histogram. Other methods, such as subtracting a number first and then dividing by another number, are also demonstrated. The tutorial aims to clarify misconceptions and provide a clear understanding of feature scaling.
