https://github.com/onome-joseph/flight-machine-learning-model
This project implements a Flight Price and Duration Prediction Machine Learning Model. Built to predict both flight price and duration due to their interrelated nature.
https://github.com/onome-joseph/flight-machine-learning-model
data-insights data-science deep-learning linear-regression machine-learning xgboost-regression
Last synced: about 1 year ago
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This project implements a Flight Price and Duration Prediction Machine Learning Model. Built to predict both flight price and duration due to their interrelated nature.
- Host: GitHub
- URL: https://github.com/onome-joseph/flight-machine-learning-model
- Owner: Onome-Joseph
- License: mit
- Created: 2024-11-22T19:20:50.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-22T20:07:36.000Z (over 1 year ago)
- Last Synced: 2025-02-12T06:39:10.075Z (over 1 year ago)
- Topics: data-insights, data-science, deep-learning, linear-regression, machine-learning, xgboost-regression
- Language: Jupyter Notebook
- Homepage:
- Size: 143 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Flight Price and Duration Prediction Model
### Overview
This project implements a **Flight Price and Duration Prediction** Machine Learning Model. Built to predict both flight price and duration due to their interrelated nature, the model uses Linear Regression, XGBoost regression, and Polynomial Features Transformation to achieve good accuracy.
# Applications
This model has versatile applications, including:
- Travel Agencies: Optimize ticket pricing strategies and enhance customer satisfaction by providing accurate travel duration information.
- Airlines: Improve pricing models and better schedule flights.
- Consumers: Plan trips efficiently by understanding price and duration dynamics.
### Contributions
Contributions are welcome! Feel free to fork the repository, add enhancements, or report issues.