destyo / accident_prediction

Proyecto Final Machine Learning // Canadian Car Accidents 1994-2014

Canadian Crash Accidents Prediction

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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
3. Roadmap
4. Contributing
5. Contact
6. Acknowledgments

About The Project

Project for our Machine Learning course at CUNEF, Madrid. The goal was to develop an end-to-end machine learning project with the NCDB, you can find the Kaggle Dataset here: https://www.kaggle.com/tbsteal/canadian-car-accidents-19942014

Built With

• Jupyter Notebook
• VSCode
• Python 3.8.12

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Getting Started

Prerequisites

• Python 3.8.12
• Wanting to learn something new (just like we did! and still do)

Roadmap

• EDA
• Feature Engineering
• Models
  • Model Optimization
  • Pipeline for preprocessing
• Interpretability
• English translation
• Deploy model

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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Contact

Antonio Tello Gómez - [e-mail]

Project Link: https://github.com/destyo/accident_prediction

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Acknowledgments

• Andrés Mahía Morado for working as hard on this project as I did

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