Crack the Code: Mastering Category Encoders for Data Scientists

Image by Author | Canva   In data science, handling different types of data is a daily challenge. One of the most common data types is categorical data, which represents attributes or labels such as colors, gender, or types of vehicles. These characteristics or names can be divided into distinct groups or categories, facilitating classification…



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