I have two questions:
- Do I have to apply Feature Scaling over ALL features in Neural Network(and Deep Learning too)?
- How can I scale categorical features in a dataset for neural network(if needed)?
I have two questions:
Its depends, what are you are trying to you could:
Use one hot encoding, to create numeric values.
For numerical features you could divide in each value into the average value for example, ant then you will will get values between [0,1], which make make it , good to feed a neural network.