I would like to train a SVM and KNN model, I was wondering if anyone could advise for training a Machine Learning model which processing is more appropriate?

CodePudding user response：

Normalization rescales the values into a range of [0,1], Standardization rescales data to have a mean (μ) of 0 and standard deviation (σ) of 1.

It's recommended to use Standardization before applying KNN, check this article for some explanation.