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A classification model used to classify the passengers satisfaction from 1-5 in an airline system. Dataset is analysed, pre-processed and necessary visualisations are made. Two models are made. One using Logistic Regression and the other using KNN. Both of the models are evaluated.

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wessamsw/Airline_Passenger_Satisfaction

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Airline Passenger Satisfaction

Customer satisfaction scores from 120,000+ airline passengers, including additional information about each passenger, their flight, and type of travel, as well as ther evaluation of different factors like cleanliness, comfort, service, and overall experience.

A Logistic Regression model is made as well as KNN and they are both evaluated using their R2 score. Dataframe is cleaned, pre-processed, analysed and necessary visualisations are made.

Data Link: https://www.kaggle.com/datasets/mysarahmadbhat/airline-passenger-satisfaction

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A classification model used to classify the passengers satisfaction from 1-5 in an airline system. Dataset is analysed, pre-processed and necessary visualisations are made. Two models are made. One using Logistic Regression and the other using KNN. Both of the models are evaluated.

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