An end-to-end ML project that predicts airline passenger satisfaction using a Random Forest Classifier. Covers EDA, preprocessing, model training (96% accuracy), and a live Streamlit app with 22 flight experience features.
data-science machine-learning scikit-learn machine-learning-algorithms customer-support data-visualization data-preprocessing-and-cleaning satisfication-predition
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Updated
Jun 9, 2026 - Jupyter Notebook