This is a binary classification problem, The goal is to predict which of the two levels of satisfaction with the airline the passenger belongs to: Satisfaction, Neutral or dissatisfied
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May 1, 2024 - Jupyter Notebook
#
airlines-analysis
Here are 7 public repositories matching this topic...
Apache Hive Hadoop Airline Analysis
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Jun 24, 2020
Dual-domain AI framework for airline RM and digital analytics validation
aviation ci-cd data-analytics forecasting-models anomaly-detection inventory-optimization fastapi airlines-analysis
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Jan 3, 2026 - Python
Customer Segmentation in Airlines Using Unsupervised K-Means Modeling
python data-science-portfolio cluster-analysis unsupervised-machine-learning segmentation-models airlines-analysis
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Aug 21, 2024 - Jupyter Notebook
Power BI dashboard for analyzing 2015 airline cancellations and flight delays. Includes flight duration, delay and cancellation reasons, date, flight number, airline, airports, and scheduled/actual times. Visualizations show total flights, cancellations, delay reasons, and monthly trends.
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Sep 15, 2025
AI-powered platform for intelligent operations in healthcare, pharma, and aviation.
predictive-maintenance airlines-analysis healthcare-analytics workflow-automations agentic-ai aviation-analytics
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Nov 4, 2025
A Data Warehouse project analyzing 2022 U.S. domestic departures, delays, cancellations, and weather-related disruption patterns through ETL, dimensional modeling, and Tableau dashboards.
python etl storytelling pandas data-visualization data-warehouse data-quality unical star-schema tableau-public dimensional-modeling weather-analysis airlines-analysis
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Jun 29, 2026 - Jupyter Notebook
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