Tabular data refers to data that is structured in a table format, composed of rows and columns. Each row typically represents a record or instance, and each column represents a specific attribute or feature of the record. This format is commonly used in machine learning for organizing and processing data.
How Tabular Data is Used
In machine learning, algorithms can learn from tabular data by identifying patterns across different features. For example, a table containing customer data with columns for age, income, and purchase history can be used to predict customer buying behavior.
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