Standardization Vs Normalization in Machine Learning

In the above figure, there is a mean which value is 0 and std deviation is 1 which satisfies our standardization theory. Here as you can see there is a scatter plot of before scaling and after scaling and see there is no effect after standardization. After standardization, In probability density function graph lookalike the given below. In machine learning, our aim is to improve model and accuracy scores. So for improving scores and a good predictive model uses Standardization.