Assuring data quality should be one of the most important goals for IT professionals. This is truer today than it has ever been as organizations rely on data to power their AI and machine learning ...
The data has been processed by removing missing values, editing bad data, and normalizing the numeric age and income values. The sex, region, and political leaning fields must be encoded. The ultimate ...
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