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
Correct Answer is :
C. To clean, transform, and prepare data for analysis
Explanation
Data preprocessing involves cleaning, transforming, and preparing raw data for analysis by removing noise, handling missing values, and transforming data into a suitable format.