We designed an interactive website ([sandiegohearts.github.io](https://sandiegohearts.github.io/ "San Diego Hearts")) that examined the factors contributing to varying heart disease rates across San Diego to recommend ways to bring down the rates in the high risk areas. The goal is to help the potential users to make better decisions to run the campaigns and channelize the funds to the right regions.
To Download the Zip File with the IPython Integration [Click Here](https://github.com/sandiegohearts/sandiegohearts.github.io/raw/master/TabPy/SanDiegoMapping_PythonIntegration.zip)
| What is it? | Why is it Useful? | Link to Item |
|---|---|---|
| Machine Learning IPython Notebook | Predicting Heart Disease | IPython Notebook |
| Download Tableau Workbook + Associated Files | You need it for Python Integration to this dashboard | Download Zipfile |
| Youtube Video (Coming Soon) | Show people how to use TabPy | Coming Soon |
2nd place at the 2017 San Diego Big Data Hackathon
| What is it? | Powerpoint/Word | |
|---|---|---|
| Final Presentation | Powerpoint | |
| Final Submission Form | Word | |
| Proposal Presentation | Powerpoint |
| FirstName | LastName | |
|---|---|---|
| Disha | Singla | [email protected] |
| Orysya | Stus | [email protected] |
| Ehab | Abdelmaguid | [email protected] |
| Akshit | Bhatnagar | [email protected] |
| Michael | Galarnyk | [email protected] |
| Submit | Pull Request | [email protected] |
| What is it? | Why is it Useful? | Link to Item |
|---|---|---|
| Making sandiegohearts.github.io | Launching of the Website Process | Youtube Video |
| Official Site | Website | Official Hackathon Site |
| Competition Github Repo | Repo | Repo Link |
Anyone may contribute to our project. Submit a pull request.