Data preprocessing is the process of preparing data for analysis by cleaning, transforming, and selecting relevant features. It involves identifying and handling missing or duplicate data, scaling features, encoding categorical data, reducing dimensionality, and splitting data into training and testing sets.
Proper data preprocessing helps to ensure data accuracy and consistency and leads to more accurate and reliable results.
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