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Data Preprocessing and Cleaning
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What is the primary goal of data preprocessing?
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A
To improve the accuracy of machine learning models
💡 Explanation:
Data preprocessing aims to transform raw data into a format that is suitable for machine learning algorithms. This can involve removing noise, correcting errors, and normalizing data to improve the performance of models.