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Q » How do data scientists clean and prepare massive datasets?
26 Oct, 2025
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A » Data scientists clean and prepare massive datasets through several steps: they first remove duplicates and handle missing values, then standardize formats and correct inconsistencies. They may also transform data, such as normalizing or encoding categorical variables, and finally, they partition datasets for training and testing. This process often involves using programming languages like Python or R and relies on libraries such as Pandas and NumPy for efficiency.
26 Oct, 2025
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