Answer Posted / Priti
Missing values can be handled by techniques such as imputation (filling in the gaps using mean, median, or regression), deletion (removing rows with missing values), and imputation using multiple imputation methods. Additionally, there are specific algorithms like MICE (Multiple Imputation by Chained Equations) designed to handle missing data.
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