The data normalization process is one of the pre-processing stages needed to improve model performance. Even so, some machine learning models use calculations that pay attention to the unit of...

The data normalization process is one of the pre-processing stages needed to improve model performance. Even so, some machine learning models use calculations that pay attention to the unit of predictor variables used so that the normalization process is something that must be done.
From the models under which model requires data normalization process?

a) Multiple Linear Regression]

b) Random Forest

c) Binomial Logistic Regression

d) k-NN