Importance of data cleaning for AI/ML developers & data scientists
What Is Data Cleaning? Data cleaning is the crucial process of identifying and rectifying errors, inconsistencies and inaccuracies in datasets. It ensures data accuracy, reliability, and usefulness for analysis and decision-making by eliminating missing values, duplicates, outliers and formatting issues. This meticulous process involves techniques like data imputation, outlier detection, deduplication and validation. Data cleaning …
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