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predictive-modeling

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retentioneering-tools

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

  • Updated Jul 16, 2026
  • Python

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance

  • Updated Jul 17, 2026
  • Jupyter Notebook

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