What Is Data Preprocessing?
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Data preprocessing is the process of preparing data for analysis. It involves cleaning, transforming, and organizing data so that it can be used in machine learning algorithms. Preprocessing includes tasks such as data imputation, normalization, outlier detection, feature selection, and encoding. Preprocessing can help improve the accuracy of machine learning models by improving the quality of the data used in model training.