CURRENT STATUS: IN DEVELOPMENT
Repository storing automation resources, infrastructure, and more for Kaggle-based data competitions
General-purpose and adaptable project for various types of data competitions
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Github Codespaces support is included (see devcontainer)
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Support for local execution is also included.
This repository includes scripts and resources for the following areas:
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Data Processing Pipeline - An automated workflow that spans from data acquisition and cleaning to transformation and preparation for modeling.
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Dataset Management - Capabilities to easily load and manage Kaggle datasets, including automatic data download from the platform.
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Results Reporting - Automatic creation of detailed reports summarizing performance metrics, visualizations, and model outcomes.
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Integration with Kaggle - Ability to upload and submit results directly to Kaggle competitions, streamlining the development and testing cycle.
| ⚡ All use of cloud (AWS and Azure) generate costs, use it at your own risk! |
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- Amazon Web Services - AWS resources
- Kaggle Api - Kaggle code support
- I'm not responsible for bricked devices or software misconfigurations.
- I'm not responsible for possible high cloud costs costs generated by using the code of this project.
- You are free to use the software of this project and it is your decision.
- I'm not responsible for data loss.
This is a personal project with academic origins and is not intended to be a commercial or professional solution. If you want to use it, it is at your own risk.
| ❗ Check the Project dashboard for more info! |
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| ❗ No wiki at the moment! |
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This project is licensed under the License (GNU GPL-V3) - see the LICENSE.md file for details.
⌨️ with ❤️ by Alexvidalcor 😊