Beyond the Basics: Advanced Feature Scaling Techniques for Real-World Data
Feature scaling is a cornerstone of data preprocessing, supporting everything from machine learning to data visualization and business analytics. While standard methods like normalization and standardization handle most situations, real-world data can present unique challenges. Highly skewed distributions, extreme outliers, and non-Gaussian shapes often demand more flexible strategies. For such cases, advanced scaling methods, including … Read more