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A Machine Learning Specialist working for an e-commerce store needs to develop a supervised model for product categorization. The Specialist was given a CSV dataset for 5,000 products. Each product is associated with a target label representing its category (e.g., Electronics, Automotive, Office supplies, Clothing). There are a total of 10 categories and 20 numerical features that correspond to variables such as product codes, price, dimensions, and so on. Based on the given dataset, which machine learning approach should the Specialist implement?