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in this video you will learn how to find features that have constant values or low variance using various threshold function in python this variance threshold function removes all low variance features this function looks only at the features x that is the independent variables and not the y variable or the target variable lets import pandas as pd import pandas as pd from sklearn dot feature selection we will import the variance threshold we have to select this feature selection import variance threshold now im going to make one variable df and i will read a csv file and save in this object pd dot read underscore csv and inside this i will write the csv file name which is sample.csv so this is just a warning you have to ignore it now i have saved this csv file in this variable df now let us look at the head of our data frame ill write df dot head and here in the output you will see we have got a data frame here and we have variables such as length width size decimal weight and heigh
