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Let's dive into the top data cleaning techniques and best practices for the future – no mess, no fuss, just pure data goodness! What is Data Cleaning? It involves removing or correcting incorrect, corrupted, improperly formatted, duplicate, or incomplete data. Why Is Data Cleaning So Important?
As a data analyst , I would retrain the model as quick as possible to adjust with the changing behaviour of customers or change in market conditions. 5) What is datacleansing? Mention few best practices that you have followed while datacleansing. Having different value representations and misclassified data.
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