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game-analytics

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A predictive model for player retention/churn on day-14 after game installation based on features such as in-game metrics, user behavior, and engagement patterns to identify players at risk of churning, accurately predicting 65% of all retention within the top 6% of total population.

  • Updated Jan 11, 2024
  • Jupyter Notebook

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