Data Normalization And Standardization – Amazon Listing Services
Data normalization and standardization are essential processes in data preprocessing to ensure consistency and accuracy in analysis. Normalization involves scaling the values of features to a standard range, allowing for fair comparison across different variables. Standardization, on the other hand, centers the data around a mean of zero and a standard deviation of one, reducing the impact of outliers. These techniques improve the performance of machine learning models by making data patterns more interpretable and enhancing model convergence.