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Understanding Data Cleaning - Great Learning Blog
Data is information collected through observations. It is often a set of qualitative and quantitative variables or a compilation of both. Data often entered in a system can have multiple layers of issues while retrieving, which in most cases will cause you to clean the data before you can make sense of the same and process the same to come up with actionable insights. Data cleaning is a very crucial first step in any machine learning project. It is an inevitable step in the process of model building and data analysis, but no one really can or tells you how to go about the same.