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What is the purpose of data preprocessing?

Answer and explanation

Correct answer: To prepare raw data for analysis or model training

Data preprocessing prepares raw data for analysis or model training. It may include correcting errors, handling missing values, removing unsuitable duplicates, changing formats, and scaling or transforming values. It does not mean hiding all data or removing every feature from the dataset.

Related tags

Artificial IntelligenceClass 12Part B: Subject Specific SkillsUnit 2: Data Science MethodologyData PreprocessingData CleaningData TransformationMachine Learning

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