Data Integration and Governance

Jan 29, 2026 · Artificial Intelligence

Nine Common Data Preprocessing Methods Explained

The article walks through nine essential data preprocessing techniques—handling missing values, detecting outliers, removing duplicates, standardizing features, applying transformations, encoding categorical variables, extracting time‑based features, integrating multiple data sources, and selecting relevant subsets—to improve model accuracy and reliability.