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

Solution

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.