🌿🗽Analysis of health of NYC trees with GIS, logistic regression & random forest 🏙 🌳 National Day of Civic Hacking 2016
-
Updated
Apr 28, 2017 - Jupyter Notebook
🌿🗽Analysis of health of NYC trees with GIS, logistic regression & random forest 🏙 🌳 National Day of Civic Hacking 2016
Exploration and analysis of socio-economic and health data from 167 countries using MATLAB. Application of clustering algorithms to identify development patterns, visualize disparities, and understand global trends.
A monitoring tool to visualize real-time PostgreSQL database key performance and health indicators
Analysis and visualization on a broad set of metrics focused on health at the county level.
Analysis of life expectancy over the period 2000 - 2015, including demographic, health and economic indicators. The report features life expectancy trends over the reporting period, how life expectancy contrasts with GDP and countries with highest life expectancy in 2015
Profiles of healthy people and diabetic people were analyzed and used to build a predictive model to gauge the diabetes risk index of an untested person.
Add a description, image, and links to the health-indicators topic page so that developers can more easily learn about it.
To associate your repository with the health-indicators topic, visit your repo's landing page and select "manage topics."