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Here, in this scenario, we need to assume that X_test is a pandas dataframe. Hence, in this case, you can use DataFrame.fillna in order to replace the NAN values. Below is the representation.
X_test.fillna(X_test.mean())
You can replace the NaN values with mean by using the following command,
X_test.fillna(X_test.mean())
If you want to remove the NaN values, use dropna().
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