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Flight-Fare-Prediction | end implementation and deployment of Machine Learning

 by   divyansh1195 Jupyter Notebook Version: Current License: GPL-3.0

 by   divyansh1195 Jupyter Notebook Version: Current License: GPL-3.0

kandi X-RAY | Flight-Fare-Prediction Summary

Flight-Fare-Prediction is a Jupyter Notebook library. Flight-Fare-Prediction has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
End to end implementation and deployment of Machine Learning Airline Flight Fare Prediction using python, flask, gunicorn, scikit-Learn, etc. on Heroku web application platform.
Support
Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • Flight-Fare-Prediction has a low active ecosystem.
  • It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.
  • It had no major release in the last 6 months.
  • Flight-Fare-Prediction has no issues reported. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of Flight-Fare-Prediction is current.
This Library - Support
Best in #Jupyter Notebook
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This Library - Support
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quality kandi Quality

  • Flight-Fare-Prediction has no bugs reported.
This Library - Quality
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This Library - Quality
Best in #Jupyter Notebook
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securitySecurity

  • Flight-Fare-Prediction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
This Library - Security
Best in #Jupyter Notebook
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This Library - Security
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license License

  • Flight-Fare-Prediction is licensed under the GPL-3.0 License. This license is Strong Copyleft.
  • Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
This Library - License
Best in #Jupyter Notebook
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This Library - License
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buildReuse

  • Flight-Fare-Prediction releases are not available. You will need to build from source code and install.
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This Library - Reuse
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Flight-Fare-Prediction Key Features

End to end implementation and deployment of Machine Learning Airline Flight Fare Prediction using python, flask, gunicorn, scikit-Learn, etc. on Heroku web application platform.

Flight-Fare-Prediction Examples and Code Snippets

Community Discussions

No Community Discussions are available at this moment for Flight-Fare-Prediction.Refer to stack overflow page for discussions.

No Community Discussions are available at this moment for Flight-Fare-Prediction.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Flight-Fare-Prediction

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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  • https://github.com/divyansh1195/Flight-Fare-Prediction.git

  • gh repo clone divyansh1195/Flight-Fare-Prediction

  • git@github.com:divyansh1195/Flight-Fare-Prediction.git

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