missing_data_count=df.isnull().sum()
We can handle missing values by either replacing the values in the column with 0 as follows:df[‘column_name’].fillna(0)
Or by replacing it with the mean value of the columndf[‘column_name’] = df[‘column_name’].fillna((df[‘column_name’].mean()))