Flight_Fair_Prediction | flight fare prediction Machine Learning dataset

 by   YuktiJain711 Jupyter Notebook Version: Current License: No License

kandi X-RAY | Flight_Fair_Prediction Summary

kandi X-RAY | Flight_Fair_Prediction Summary

Flight_Fair_Prediction is a Jupyter Notebook library. Flight_Fair_Prediction has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

In this project, we will be analyzing the flight fare prediction using Machine Learning dataset using essential exploratory data analysis techniques then will draw some predictions about the price of the flight based on some features such as what type of airline it is, what is the arrival time, what is the departure time, etc.
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              Flight_Fair_Prediction has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              Flight_Fair_Prediction has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Flight_Fair_Prediction is current.

            kandi-Quality Quality

              Flight_Fair_Prediction has no bugs reported.

            kandi-Security Security

              Flight_Fair_Prediction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Flight_Fair_Prediction does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              Flight_Fair_Prediction releases are not available. You will need to build from source code and install.

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            Flight_Fair_Prediction Key Features

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            Flight_Fair_Prediction Examples and Code Snippets

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            Install Flight_Fair_Prediction

            You can download it from GitHub.

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            https://github.com/YuktiJain711/Flight_Fair_Prediction.git

          • CLI

            gh repo clone YuktiJain711/Flight_Fair_Prediction

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            git@github.com:YuktiJain711/Flight_Fair_Prediction.git

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