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• Ordinal: Ordinal refers to a type of categorical variable where the categories have a natural order or ranking. In data science, ordinal variables are commonly used in statistical modeling and machine learning algorithms. Ordinal variables can be ei ... Read More >>
• Consumer Decision-Making: Consumer decision-making is the process by which individuals choose between different products or services based on their needs, preferences, and available information. In the context of data science, consumer decision-making can be analyze ... Read More >>
• Expected Values: Expected value is a concept in probability theory that represents the average outcome of a random variable over an infinite number of trials. In data science, expected value is used to calculate the long-term average of a dataset, which can ... Read More >>