alexvidalcor / datacompass Goto Github PK

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

• Github Codespaces support is included (see devcontainer)

• Support for local execution is also included.

This repository includes scripts and resources for the following areas:

1. Data Processing Pipeline - An automated workflow that spans from data acquisition and cleaning to transformation and preparation for modeling.

2. Dataset Management - Capabilities to easily load and manage Kaggle datasets, including automatic data download from the platform.

3. Results Reporting - Automatic creation of detailed reports summarizing performance metrics, visualizations, and model outcomes.

4. Integration with Kaggle - Ability to upload and submit results directly to Kaggle competitions, streamlining the development and testing cycle.

• 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.

This project is licensed under the License (GNU GPL-V3) - see the LICENSE.md file for details.

⌨️ with ❤️ by Alexvidalcor 😊