A complete machine-learning system that predicts AI assistant user satisfaction using behavioral signals such as device, usage category, time features, session metrics, and model metadata. Includes full ML pipeline, SHAP explainability, evaluation suite, and an interactive Streamlit analytics dashboard.
data-science machine-learning random-forest data-visualization feature-engineering model-evaluation classification-model explainable-ai shap ml-pipeline ml-ops streamlit ux-analytics user-satisfaction behavioral-analysis time-series-features human-ai-interaction behavioral-modeling ai-analytics prediction-engine
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Updated
Dec 5, 2025 - Python