A. To reduce the size of the dataset
B. o increase data complexity
C. To clean, transform, and prepare data for analysis
D. To randomly sample the dataset
Data preprocessing involves cleaning, transforming, and preparing raw data for analysis by removing noise, handling missing values, and transforming data into a suitable format.