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airline-passenger-satisfaction

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yogeshwaran-shanmuganathan / Airline-Passenger-Satisfaction

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Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

python random-forest exploratory-data-analysis jupyter-notebook naive-bayes-classifier logistic-regression decision-tree-classifier customer-satisfaction factors knn-classification rapidminer xgboost-algorithm crisp-dm airline-passengers adaboost-classifier passenger-satisfaction airline-passenger-satisfaction
  • Updated Sep 1, 2023
  • Jupyter Notebook

eorgantzoglou / Airline-Passenger-Satisfaction-Clustering-Classification

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Data mining and machine learning on 100,000 airline passenger records: cleaning, PCA, three clustering algorithms and three classifiers, with bilingual documentation of every result

python machine-learning data-mining neural-network clustering tensorflow svm scikit-learn keras jupyter-notebook university-project pca classification kmeans decision-tree dbscan hierarchical-clustering airline-passenger-satisfaction
  • Updated Aug 6, 2026
  • Jupyter Notebook

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