https://github.com/vinit714/player-retention-analysis

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.

churn-prediction classification data-visualization eda feature-engineering game-analytics game-data-analysis gaming-analytics machine-learning model-interpretability nlp pandas player-retention python retention-analysis sckiit-learn shap streamlit wordcloud

Last synced: 08 May 2026