The goal of this project is to give a model, which could help Airdata to predict flight delay and optimize logistics.
- Python
- Scikit-Learn
- Flask
- supervised machine learning.
- Heroku
- html
To get a local copy up and running follow these simple example steps.
- Open terminal
- Clone this project by the command:
$ git clone git@github.com:Taher-web-dev/-Anticipate-aircraft-flight-delays.git
- Then go to the main folder using the next command:
$ cd -Anticipate-aircraft-flight-delays
- IDE to edit and run the code (We use Jupyter Notebook 🔥).
- Git to versionning your work.
- Data scientist practioner.
- For anyone interested by flight delay.
👤 Taher Haggui
- GitHub: @TaherHaggui
- LinkedIn: @TaherHaggui
Contributions, issues, and feature requests are welcome!
Give a ⭐️ if you like this project!
- Openclassroom 💘 (https://openclassrooms.com/fr/)
- CentraleSupelec 💘(https://www.centralesupelec.fr/)
- My family's support 🙌
This project is Openclassroom licensed.