Data cleaning, also known as data cleansing or data scrubbing, is a crucial step in the data preprocessing pipeline. It involves identifying and correcting errors or inconsistencies in datasets to improve their quality and reliability. Here are some best methods for data cleaning:   Handling Missing Data:   Identify and understand the extent of missing data. Choose an approp...

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