Machine Learning, Data Science, Python, Classification.
train.pop(‘Name’) test.pop(‘Name’) Filling missing values We fill missing values with the mean value for numerical features and the most frequent value for categorical features. train[‘Age’] = train[‘Age’].fillna(train[‘Age’].mean()) test[‘Age’] = test[‘Age’].fillna(test[‘Age’].mean())