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I want to implement this function df['spend_normalized']=(df['spend_normalized']-df['spend_normalized'].min())/(df['spend_normalized'].max()-df['spend_normalized'].min())

I am trying to use visual recipes I went for using normalization but doesn't know how it is implemented 

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Hi @NourhanElaraby ,

If you are looking to perform the similar column-wise operation in the visual recipe, you could look at using the Window recipe pehaps: 

But if the end goal is to use this data in Visual ML then rescaling is already done in Visual as part of feature re-processing. So you may not need to perform this operation in an actual Visual recipe.


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