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in this video we will learn about standardization standardization of a data set is a common requirement for any machine learning estimator implemented in scikit-learn it makes features look like a standard normally distributed data with mean 0 and unit variables lets import pandas spd i am going to make one variable df and in this i will store my csv file name from pandas i will use the method read underscore csv and my csv file name is auto mpg dot csv lets look at the top five rows of our data frame df we will use the method head df dot head so these are the top five rows off of my data frame df and the data frame contains certain columns such as mpg cylinders displacement horsepower weight acceleration model here origin and car name lets also look at the bottom five rows of a data frame df we will use the method tail df dot tail and these are the bottom fibers of a data frame lets also look at the shape of a data frame we will write df dot shape so there are total 398 rows and
