Data Science Interview Question 3
Most Favorable Data Science Interview Questions and Answers for Beginners
Greetings.
I am a machine learning engineer based in India, possessing a sustained interest in machine learning since my undergraduate studies. I have completed Stanford University's machine learning course (Andrew Ng) via Coursera, and IBM's machine learning and deep learning curriculum. My current focus is on machine learning and data science projects, aiming to leverage my expertise for impactful, real-world problem-solving.
How to choose between Normalization or Standardization to scale the features of a dataset?
Normalization:
- During normalization, the values are shifted and resized so that they end up being between 0 and 1.
Standardization:
- The standardization method first subtracts the mean value and then divides it by standard deviation so that the resulting distribution of the features has a mean of 0 and standard deviation of 1.
You don't need to use both standardizations at the same time for rescaling the data.
You need to use normalization when the dataset does not follow normal distribution.
You need to use standardization when the dataset follows a normal distribution.
