Data transformation plays a vital role in the data science workflow by preparing raw data for meaningful analysis. It includes cleaning, structuring, normalizing, and reshaping datasets to improve accuracy and consistency. Effective transformation enhances model efficiency and supports better decision-making. Professionals seeking hands-on expertise in these techniques can build strong...
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