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retention-analysis

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vinit714 / Player-Retention-Analysis

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A complete Streamlit + Machine Learning + SHAP + NLP project to analyze, predict, and improve player retention in games. This project simulates a game environment, models churn behavior, and provides insights using SHAP, NLP word clouds, and strategy simulators.

python nlp machine-learning eda pandas data-visualization wordcloud classification feature-engineering churn-prediction game-analytics sckiit-learn gaming-analytics shap model-interpretability retention-analysis streamlit player-retention game-data-analysis
  • Updated Jun 27, 2025
  • Python

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