Data preprocessing in machine learning refers to the transformation of unstructured, ambiguous, and error-filled data into a clean and coherent version that can be used for further processing and manipulation. Preprocessing filters out data issues early on in the pipeline so that only valuable data elements remain.Continue reading
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