Research Notebooks and Tool Development of eHealthEquity
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Updated
Apr 22, 2024 - Jupyter Notebook
Research Notebooks and Tool Development of eHealthEquity
Notebooks supporting investigations in U.S. healthcare data.
Obese-tree is a GitHub repository showcasing the application of a Support Vector Machine (SVM) model to estimate obesity levels based on eating habits and physical condition. Explore the code, data, and Jupyter notebooks to learn how SVM can be used for predictive modeling in the context of health and wellness.
This repository consists of the various Jupyter Notebooks that were written to perform analysis on the different Open-Source Datasets available on Health Parameters and different disease, namely: Breast Cancer, Diabetes Analysis, Heart Disease, Kidney Disease and Liver Disease.
This repository contains scripts to collect data from the fitbit API and a notebook containing my analysis of this data.
alice2 is a microblog, designed for storing references. I use it as a notepad for things that may come useful later.
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