Google Professional Machine Learning Engineer
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During an exploratory data analysis on a dataset intended for a predictive modeling task, you find that a categorical feature, referred to as feature A, shows significant predictive capability. However, there are instances where values for feature A are missing. What approach should you take to handle the missing values in feature A without losing its predictive power?
During an exploratory data analysis on a dataset intended for a predictive modeling task, you find that a categorical feature, referred to as feature A, shows significant predictive capability. However, there are instances where values for feature A are missing. What approach should you take to handle the missing values in feature A without losing its predictive power?
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