Python for Data Analysis: Step-By-Step with Projects - Tackling Missing Data (Imputing with Constant)

The video tutorial covers strategies for imputing missing values in datasets, focusing on using constant values. It introduces two methods: the fillna method in Pandas and the SimpleImputer in Scikit-learn. The tutorial explains how to handle numerical and categorical columns differently, using specific constants for each. It provides step-by-step instructions for implementing these methods in Python, highlighting the advantages of each approach.

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