Feature Scaling: Normalization & Standardization | Machine Learning | Data Science #shorts

Key Takeaways

normalization and standardization Prasad I have been using them interchangeably just wanted to check are these two the same no they are not so in standardization we convert the features to the corresponding Z scores by removing the mean and dividing by the standard deviation whereas in normalization the aim is to bring the data values to a unit now basically normalization means to recompute the values such that the sum of the squares of the recomputed values is equal to 1. finally standardization is done on features or Columns of your data whereas normalization is done on the rows or your data points by using the psychic learn function called as normalizer whereas standardization is done by using your scikitlan function called as standard scale