Normalization scales data to a specific range, often between 0 and 1, while standardization adjusts data to have a mean of 0 and standard deviation of 1. Standardization or Z-Score Normalization is the transformation of features by subtracting from mean and dividing by standard deviation. This is often called as Z-score. Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more. Learn about the process of implementing and developing technical standards based on consensus of different parties. Explore the history of standardization from ancient times to modern days, and the types and examples of standards in various fields and regions.
