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In this video, we learn about standardization of a data set, which is a common requirement for machine learning in scikit-learn. Standardization makes features appear like normally distributed data with mean 0 and unit variance. By importing pandas and reading a csv file named auto mpg, we create a data frame with columns such as mpg, cylinders, displacement, horsepower, weight, acceleration, model year, origin, and car name. We use the head and tail methods to view the top and bottom five rows of the data frame, and find that it contains 398 rows in total.
