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.