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airline-satisfaction

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mslawsky / airline-customer-satisfaction-prediction

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This multi-phase project identifies key satisfaction drivers and provides actionable insights to improve customer experience using statistical analysis and machine learning models, including logistic regression, decision trees, random forests, and XGBoost.

xgboost ensemble-learning logistic-regression predictive-analytics decision-tree-model customer-prediction airline-satisfaction satisfaction-analysis inflight-entertainment random-forest-model
  • Updated Mar 6, 2025
  • Python

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