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hello friends welcome to my youtube channel in todays video we will be going through pandas cut and cue cut methods that are used to convert a continuous feature into a categorical one what happens a lot of times is that when we need these functions we just look them up on the go but we do not go through the intricacies of these functions in terms of how we can tweak the parameters to get different types of results so in this video well go through the parameters that the cut and cue cut functions take and how it affects the output so lets begin so for this tutorial i have taken the kaggle house pricing prediction data set and you can just go to kaggle and create a notebook on top of it to play with that data so lets load the libraries and here we are just loading the data from kerala data set here i have just written a helper function which takes in a series object and then it print prints out the type of that object it also prints out few other information like what are the numbe