Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.
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Updated
Sep 1, 2023 - Jupyter Notebook
Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.
The Project of Passenger Satisfaction Forecasting is a user-friendly web application designed to empower companies to assess and understand their satisfaction impact.
A Power BI dashboard that visualizes passenger satisfaction across demographics, flight classes, delays, and service quality.
Bu proje, uçak yolcularının memnuniyetini etkileyen faktörleri incelemek ve memnuniyet düzeyini tahmin etmeye yönelik bir veri analizi çalışmasıdır.
Add a description, image, and links to the passenger-satisfaction topic page so that developers can more easily learn about it.
To associate your repository with the passenger-satisfaction topic, visit your repo's landing page and select "manage topics."