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Understanding the Zero-Inflation Problem in Data Science: Challenges and Solutions

  • The zero-inflation problem is a common and overlooked challenge in data science.
  • Zero-inflation occurs when the number of observed zeros in a dataset exceeds what is predicted by a standard statistical model.
  • This problem is particularly common in count data.
  • Addressing zero-inflation is crucial for accurate data analysis and model building.

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