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# Lung-Cancer-Prediction |
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this project is about , As statistics show a high number of cancer recoveries due to the early prediction. |
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On this project we worked on good data that contains most of the impotent symptoms of lung cancer with 3 techniques for now : |
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### Prerequisites |
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you can work on this in Google Colab or download anaconda to work offline. |
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## Built With |
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* [Scikit-learn](https://scikit-learn.org/stable/) - AI framework |
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* [Pandas](https://pandas.pydata.org/) - Dependency to high-performance, easy-to-use data structures and data analysis tools for the Python programming language. |
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## Authors |
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* **Ayoubness** - [Ayoubness](https://github.com/ovayoub) |
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* **Sarahssaif** |
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See also the list of [contributors](https://github.com/ovayoub/Lung-Cancer-Prediction/graphs/contributors) who participated in this project. |
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## License |
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Open Source |
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