Methods to Replace missing values (imputation) in scikit-learn

Replacing missing values is an important step in the data cleaning process. There are several methods:
- pd.fillna(df.mean()) https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.fillna.html
- sklearn.impute.SimpleImputer https://scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html
- sklearn.imputer.KnnImputer https://scikit-learn.org/stable/modules/generated/sklearn.impute.KNNImputer.html
#imputation #df.fillna #SimpleImputer #knnImputer #datamining #datascience #datacleaning #datacleansing #pd.nan #scikit #scikitlearn

Видео Methods to Replace missing values (imputation) in scikit-learn канала DeletionScheduled Ghorbanmohammad Komaki