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
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


