SimpleImputer is a scikit-learn class that is helpful in handling the missing data in the predictive model dataset. It replaces the NaN values with a specified placeholder. It is implemented by the use of the SimpleImputer() method as shown in the below code:

So here, it is replacing all the nan with the mean.