Explainable Retail Intelligence
A Python-based AI/ML notebook project that analyzes an uploaded retail dataset to segment customers, predict churn, generate personalized product recommendations, and explain model predictions using SHAP while adapting strictly to available columns.
Built with react-ts
AI-generated react-ts application built with GenMB - the AI full-stack development platform.