Data Normalization And Standardization – Amazon Listing Services
Data normalization and standardization are two fundamental techniques used in data preprocessing to prepare data for analysis. Normalization scales the values of different features to a standard range, ensuring that no single feature dominates the analysis due to its scale. Standardization transforms data to have a mean of zero and a standard deviation of one, making it easier to compare different features. These techniques help improve the accuracy and performance of machine learning models by providing consistent and standardized input data.