The most commonly used functions in machine learning data cleaning
1. Get null percentage of columns def get_null_percentage(df): count = df.isnull().sum() percent = (df.isnull().mean() * 100).round(2) summary = pd.DataFrame({'count': count, 'percentage': percent}) return summary[summary["count"] > 0].sort_values(ascending=False, by="perce…