Do you apply min max scaling separately on training and test data? : <p>While applying min max scaling to normalize your features, do you apply min max scaling on the entire dataset before splitting it into training, validation and test data?</p>

<p>Or do you split first and then apply min max on each set, using the min and max values from that specific set?</p>

<p>Lastly , when making a prediction on a new input, should the features of that input be normalized using the min, max values from the training data before being fed into the network?</p>
