Our response variable is something like
Sales which should be very large(Mean at the million level), and one predictor is also numeric but with mean at ten thousand level. The other predictors are all dummy variables.
From my perspective, there are too many dummy variables which mean linear model will not perform well
lm(Y~ x1 + Dummies). The reason why I thought about neural network is that I really need make a good fit and make a decent prediction about the
Should I standardize the whole dataset and then build the neural network model?