Why each feature must have 0 mean and unit variance to normalise data

#1

I am not able to get the above concept .please explain

#2

hey @Par1hsharma ,
every algorithm that is build has some restrictions and constraints that makes the logic used to work based on assumptions made.

Hence , for linear algorithms , we have this restriction/assumption you say , that the data should have 0 as mean and a unit variance , though there are other assumptions too , but these are the most important

I hope this helps.

#3

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