KNN, Decision Tree, Random Forest Model

I want to create three models after cleaning my data. These 3 models are KNN, Decision Tree and Random Forest. However, only KNN requires normalisation while the other 2 doesn’t. Please advice how I should craft my modelling process such that I need not use two different table partitioners but also have normalisation work for knn only