Found 362 repositories(showing 30)
Advancing Healthcare with 91% Accurate Prediction of Obesity Risk Levels Using XGBoost ,LightGBMand CatBoostClassifier Model
youknowitskyle
A React/Flask web app harnessing the power of ML to predict obesity.
julielaffy
No description available
ajallow625
No description available
YashuBhat96
A practical machine learning tutorial for childhood obesity researchers. Companion to “A Primer for Machine Learning Applications in Childhood Obesity.”
No description available
End-to-end MLOps pipeline for multi-class obesity level estimation using Prefect, MLflow, FastAPI, Terraform, and Evidently. Includes automated training, deployment, monitoring, and CI/CD on GCP.
leelesemann-sys
Competitive intelligence platform for diabetes & obesity drug development. Data engineering + ML pipeline + 9-page Streamlit dashboard.
alexisuaguilaru
Machine Learning (ML) model to predict the level of obesity based on a person's health and fitness factors
DATA606Project-TeamS
No description available
This repository hosts a supervised machine learning project focused on classifying the risk of obesity based on various factors.
No description available
aysecnkci
Machine learning project to predict obesity risk levels based on lifestyle and demographic data. This project utilizes advanced algorithms like CatBoost, LightGBM, and more to classify individuals into different obesity categories
alloy77
No description available
jonathan-woodruff
No description available
Git-Vaibhav323
Clinical Obesity Prediction Dashboard: end-to-end pipeline from NFHS PDFs to cleaned data, ML model comparison, and a Streamlit app for predictions.
pathananas2007
"Machine learning model to predict obesity levels using logistic regression (OvR & OvO)"
CTP2010Technology
This project is a ml model that can predict the amount of obese people in australia.
Neeraj-Lokireddy
No description available
MadhavJee
Machine Learning project for obesity prediction using supervised learning
kushagrakshatri
No description available
GuntimaduguSunil
No description available
rahafsworld
No description available
pierjosvins
Welcome to Dont Be Obese! Please Don't be obese by checking your obesity level anyday, anytime and anywhere.
widchy95
No description available
Infosys-project
No description available
sufyanzakariyya
Using Artificial Intelligence Techniques For The Analysis of Obesity Status According the Individuals Social And Physical Activities : A Streamlit-Based Application
Ritwik0113
I have used ML algorithms to predict which category of Obesity a person is in using various inputs
grishmak34
Obesity Dataset
No description available