title: Machine Learning scale feature vector and its derivative
body: <p>I have a training set of feature vectors such that components are obtained using some function evaluated over some discrete set of x's.
  There is also another feature vector which is obtained by differentiating the first one. 
  What I want to do is to train model using both types of feature vectors at the same time. The difficulty I'm having is that I don't know how to scale both vectors properly (0-1 range ideally).</p>
  
  <p>So far I tried using scikit MinMaxScaler on the first type of vectors and then reuse MinMaxScaler object on the vector derivative but this does not seem to work. </p>
  
  <p>Please note that I don't have much experience in ML.</p>