This project is basically to provide insights on the influence of nutritional activities on health.

This was my final project for MGSC 310, I utilized R and Rstudio to visualize the data and make simple machine learning models to help predict which factors are most likely to contribute to a diagnosis of Obesity.

Banner using HTML & CSS

Python & R scripts collection for AdipoAtlas project

JavaScript and D3 were used to analyze and visualize 2014 U.S. Census Bureau and the Behavioral Risk Factor Surveillance System. The data set includes data on rates of income, obesity, poverty, etc. by state. MOE stands for "margin of error."

Implementing machine learning in comparing the accuracy of classification algorithms in classifying levels of obesity

The Obesity Explorer Dashboard (a UBC-MDS Project by Group #1)

Predicting a Person's Obesity Level Using Decision Tree, Naive Bayes, and KNN Algorithms

This notebook presents a concise analysis for predicting obesity risk using machine learning models like Random Forest and XGBoost. Focused on identifying key factors influencing obesity through exploratory data analysis (EDA) and predictive modeling, the notebook offers insights into effective prevention strategies.

Le module d'Alerte de O Media est une application permettant de désamorcer les crises du comportement alimentaire. Destiné aux personnes souffrant d'hyperphagie, cet outil facilite la gestion des émotions lors d'une crise alimentaire grâce à des exercices thérapeutiques.

A data repository to show the amount of Unemployment and Adult Obesity in the state of North Carolina in 2014 and 2015.

Obesity, defined by BMI, is a global health concern linked to serious diseases. It's caused by more than just diet & exercise, with genes & social factors at play too. A combined approach of healthy habits, public health efforts, and accessible healthcare is needed to tackle this crisis.

Flux Modeling of Mammalian Energy Metabolism

Constructing an interactive scatter plot displaying relationships between factors shaping people's lives, such as rates of income, obesity, poverty and more.

Obesity Nationally, 41.9 percent of adults have obesity. What are some factors that might be contributing to these high rates?

Scripts for assessing longitudinal quantitative traits in UKBIOBANK-linked primary care data

Food For Thought - Do the main cuisines of food establishments affect obesity rates within Michigan?