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What is the main purpose of data cleaning?

Answer and explanation

Correct answer: To improve data quality by handling errors, inconsistencies, and missing values

Data cleaning involves identifying and correcting, removing, or appropriately handling erroneous entries, inconsistent formats, duplicate records, and missing values. These steps improve data quality and make analysis more reliable. Permanently deleting a dataset, stopping model training, or randomly changing values without inspection is not the purpose of data cleaning.

Related tags

Artificial IntelligenceClass 12Part B: Subject Specific SkillsUnit 2: Data Science MethodologyData CleaningData QualityPreprocessingMissing Values

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