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.
Data Integrationcategorical encodingdata preprocessing
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