Data Imputation

Data imputation is a crucial step in data preprocessing that helps address the problem of incomplete datasets. By filling in missing values, it ensures that the dataset is complete and can be used effectively for analysis or modeling. Various techniques can be employed for data imputation, including mean/mode substitution, regression, and more advanced methods like k-nearest neighbors.