This project involves an A/B test to evaluate the impact of moving the Cookie Cats' first gate from level 30 to level 40 on player retention after 1 day (retention_1) and 7 days (retention_7) following installation.
🎮 Production-ready analytics dashboard for mobile games analyzing real player behavior data from 40,034 players. Features interactive visualizations for retention analysis, churn prediction, engagement tracking, and funnel optimization.
Impact analysis of player retention by movement of gates in the cookie cats game
This repository provides an AI-powered player engagement system with personalized recommendations, in-game rewards, and generative content for gaming scenarios.
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.
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