🔒 When do we need to use Standard Scaler to standardize things and why?

[dire salmon]

Hello, can someone explain when do we need to use Standard Scaler to standardize things and why pls

[dusky crown]

@dire salmon

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[silver sleet]

do you understand the purpose of normalization in general?

[dire salmon]

roughly, not 100% though. I do understand that normalization is done such that particular inputs with large values don't affect the values of other inputs with much much smaller magnitude, like it doesn't create some kind of skewness in the model. (I don't really understand how the skewness is created though, like what calculation is done for that to include a certain measure which would include the skewness)

[silver sleet]

I'm in a meeting, but the short answer is that standard scalar is for when you need to normalize, and you need for the normalized values to be centered on the mean.

there are other times when you need to normalize, but you just need to squish all the values between 0 (original minimum value) and 1 (original highest value)

[dire salmon]

yeah I see, what would be the mathematical implication of not standardizing/normalizing certain values? How would that create biasness in our model pls

why standardizing based on mean or standard deviation is the way to go?

[dusky crown]

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