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> This dataset is a synthetic sample of employee records created for demonstration and training purposes in a machine learning workflow. This sample data is designed to simulate a
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> realistic HR dataset and will be used to build and evaluate a machine learning model for tasks such as salary prediction, employee segmentation, or attrition analysis.
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> It contains > 50,000 rows with the following attributes:
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-**Name**: A randomly selected first name.
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-**Age**: An integer representing the employee's age (22–65).
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-**Department**: The department where the employee works (e.g., HR, Engineering, Sales).
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-**Salary**: The employee's annual salary in USD, ranging from \$40,000 to \$120,000.
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