This repository hosts the collection of Jupyter Notebooks and HTML files created for the Heart Kinetics / Omdena collaboration. The project involves applying data science and machine learning techniques to cardiac health data, aiming to derive insightful analytics and predictive models.
- Jupyter Notebooks: These notebooks contain the core of the project's analysis and model development.
- HTML files: Supplementary files for visualization and interactive elements.
- Clone the repository.
- Ensure you have Jupyter Notebook installed.
- Navigate through the notebooks to understand the data processing, analysis, and modeling steps.
Contributions to the project are welcome. Please read our contributing guidelines before submitting your pull request.
This project is licensed under the MIT License - see the LICENSE file for details.
- Heart Kinetics for providing the dataset.
- Omdena for collaboration and support.