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airline-satisfaction

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Comprehensive analysis of airline passenger satisfaction using R, featuring machine learning models (Decision Tree, Logistic Regression, Naive Bayes) to identify key satisfaction drivers and provide actionable insights for improving passenger experience.

  • Updated Jul 4, 2025
  • R

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.

  • Updated Mar 6, 2025
  • Python

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