Python for Data Analysis: Step-By-Step with Projects - Tackling Missing Data (Imputing with Statistics) and Missing Indi

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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