How to Protect Dataset Privacy Using Python and Pandas

Working with datasets that contain sensitive information is risky, and as a data scientist, you should be extremely careful whenever this type of data is present in a dataset. People dealing with sensitive information are often under the misunderstanding that by removing names, ID’s, and credit card numbers that the privacy risk is eliminated.

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