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Generate a synthetic dataset with one million records of employee information from a fictional company, load it into a PostgreSQL database, create analytical reports using PySpark and large-scale data analysis techniques, and implement machine learning models to predict trends in hiring and layoffs on a monthly and yearly basis.

  • Updated Apr 29, 2025
  • Python

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