How do we verify that missing values have been successfully imputed?
Python for Data Analysis: Step-By-Step with Projects - Tackling Missing Data (Imputing with Constant)
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Information Technology (IT), Architecture
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University
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Hard
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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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4 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the three general steps to use the SimpleImputer?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the significance of using a constant strategy in imputation?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the two methods of imputing missing data discussed in the lesson?
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