Invistico-Airlines-Customer-Satisfaction-Prediction-End-to-End-Analysis-and-Modeling Cyberoctane29 · COMPLETED

This project presents an end-to-end workflow for predicting airline customer satisfaction using survey data. It involves building and evaluating classification models (Logistic Regression, Decision Tree, Random Forest, XGBoost), covering data cleaning, exploratory analysis, model training, tuning, evaluation, and feature importance analysis.

github.com/Cyberoctane29/Invistico-Airlines-Customer-Satisfaction-Prediction-End-to-End-Analysis-and-Modeling · ★ 1 · Forks 0 · Size 7.6 MB

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