Skip to content

andrewtclin/ml-airline-satisfaction-prediction

Repository files navigation

Data Science Analysis - Airline Company Satisfaction Predictions

Jupyter Notebook Demo

Overview

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

Demo

Highlights

  • 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.

About

A comprehensive data science analysis of airline company satisfaction. A ML model was trained upon utilizing the analyzed insight, obtaining the score of >90%.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published