GitHub - andrewtclin/ml-airline-satisfaction-prediction: A comprehensive data science analysis of airline company satisfaction. A ML model was trained upon utilizing the analyzed insight, obtaining the score of >90%.

Data Science Analysis - Airline Company Satisfaction Predictions

Trained a well-performing ML model and performed comprehensive data science analytics for airline company satisfaction, with over 90% accuracy.

Comprehensive data science analysis approach to gather, clean, analyze, and visualize relevant data.
Provides insights and recommendations based on the analysis to enhance airline company satisfaction rate.
Machine learning algorithms to identify factors affecting the satisfaction rate.
Achieves over 90% accuracy.

Name		Name	Last commit message	Last commit date
Latest commit History 47 Commits
data		data
model_weights		model_weights
Airline Satisfaction Analysis_Machine Learning & Data Science.ipynb		Airline Satisfaction Analysis_Machine Learning & Data Science.ipynb
LICENSE		LICENSE
README.md		README.md
airline_detections_demo.png		airline_detections_demo.png