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Python for Data Analysis: Step-By-Step with Projects - Tackling Missing Data (Imputing with Statistics) and Missing Indi
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This lesson covers methods to impute missing data using statistics like mean, median, and mode. It demonstrates how to use pandas and scikit-learn's SimpleImputer for this purpose, treating numerical and categorical columns differently. The lesson also explains how to mark missing data with indicators, providing a comprehensive guide to handling missing values in datasets.
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