mascarenhasneil/UberPricePrediction
This is the final data science project for USIT5609 MScIT Part II. Primarily made to learn Data Analytics, Machine Learning, and AI. To predict uber prices with external factors such as rain, temperature, time of day, day of the year, and more.
Uber Price Prediction
This is final data science project for USIT5609 MScIT Part II.
Primarily made to learn Data Analytics, Machine Learning and AI.
Explore the docs »
View Demo
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Report Bug
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Request Feature
Roadmap
See the open issues for a list of proposed features (and known issues).
Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
License
Distributed under the MIT License. See LICENSE for more information.
Contact
Neil Mascarenhas - About me?
Project Link: https://github.com/mascarenhasneil/UberPricePrediction