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Machine Learning Data Preprocessing
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What is the primary goal of data preprocessing in machine learning?
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A
To improve the accuracy of machine learning models
💡 Explanation:
Data preprocessing is performed to improve the quality of the data and make it more suitable for machine learning algorithms. By removing noise, inconsistencies, and irrelevant features, data preprocessing helps machine learning models learn more effectively and make more accurate predictions.