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Tips:

> If the distribution of predictors is very skewed or others rather than normal distribution, we

should do some reasonable transformation to make its distribution closer to normal distributio

> the transformation should be done before the normalization

> Dummy variables and label encoders do not need transformation

> Left skewed should be transferred into the right skewed by making values negative. And yo

u can apply log transformation to it.

> square root can be considered

> more useful tips could be found https://machinelearningmastery.com/how-to-transformdata-to-fit-the-normal-distribution/

or other useful methods you can applied with supporting