mahine learning

# columns with missing values
null_columns = dataset.columns[dataset.isnull().any()]

# count of missing rows in each columns
training_set[null_columns].isnull().sum()

# count of non empty rows in each columns
training_set[null_columns].count()

# columns with missing values
dataset.select_dtypes(exclude=['int', 'float']).columns