Data preprocessing is the process of cleaning, transforming, and organizing your data set in order to prepare it for data analysis and modeling. It aims to improve the quality, integrity, and reliability of the data, and addresses issues such as missing values, noisy data, outliers, and incompatible data formats. “Garbage…