Machine Learning: Passenger Satisfaction

About this project

This is a simple Machine Learning project that revolves around the binary classification task of predicting passenger satisfaction with airlines. I've utilized a Kaggle dataset, which gathers feedback from passenger surveys. To accomplish this, I built and evaluated four distinct models to identify the most suitable one for the task at hand.

Project Content:

  • Exploratory Data Analysis
  • Data Preparation
  • Model Building
  • Model Evaluation
  • Potential Business Application

Code Technologies:

  • Python
  • Kaggle
Kaggle Notebook

Project Screenshots

To view the full Machine Learning Project including visualization and code, visit the Kaggle Notebook Link. The screenshots here are for reference purposes only.

Dataset

Data Visualization

Selected Model and Evaluation