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This presentation explores the development of a predictive analytics model, focusing on data exploration, feature engineering, label refinement, and model training using advanced techniques such as grid search and cross-validation. Candidate models were evaluated for performance and selection, with results analyzed to optimize insights. The integration of LLM chatbot evaluation and a discussion of business impact provide actionable recommendations, enhancing decision-making through data-...