Data Preprocessing Questions
Data normalization is a data preprocessing technique used to transform data into a common scale or range. It involves adjusting the values of numerical data to a standard range, typically between 0 and 1 or -1 and 1. This process helps to eliminate the impact of different units or scales in the data, making it easier to compare and analyze. Normalization can be achieved through various methods such as min-max scaling, z-score normalization, or decimal scaling.