How to standarize feature vector with data in different scales?
we've to use standardization(substitute by z-scores or subtract mean divide by standard deviation) in such cases:

#find mean of each feature    
mean = data.mean(axis = 0)
#subtract mean
data - = mean
#find standard deviation of each feature
std = data.std(axis = 0)
#divide by it
data /= std