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Updated in [July 27th, 2023]
This course provides an overview of the four steps of data preprocessing in data mining. It covers topics such as data cleaning, data integration, data transformation, and data reduction. The importance of data preprocessing and how it can help improve the accuracy of data mining models is discussed. Practical examples of how to apply the four steps of data preprocessing in data mining are also provided. Upon completion of the course, participants will have a better understanding of the importance of data preprocessing and how to apply it in data mining.