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Description: The modeling process in data science refers to the systematic series of steps taken to create and validate a predictive or descriptive model from data. This process is fundamental for transforming raw data into useful information, allowing analysts and data scientists to extract meaningful patterns, trends, and relationships. It begins with data collection and […]