Web Reference: Replace missing values using a descriptive statistic (e.g. mean, median, or most frequent) along each column, or using a constant value. Read more in the User Guide. Sep 28, 2021 · SimpleImputer is a scikit-learn class which is helpful in handling the missing data in the predictive model dataset. It replaces the NaN values with a specified placeholder. Sep 19, 2021 · In this article, I discuss how to replace missing values in your dataframe using sklearn’s SimpleImputer class. While you can also replace missing values manually using the fillna () method, the SimpleImputer class makes it relatively easy to handle missing values.
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