🍎 A Reproducible Pipeline for Processing SISVAN Microdata on Nutritional Status Monitoring in Brazil
ML pipeline predicting child malnutrition risk in Chad using DHS 2014 survey data. Gradient Boosting achieved 92% accuracy and 0.979 AUC on 9,826 children. 52.9% of Chadian children under five are malnourished.
Analysis of 3 measurements of malnutrition in young children globally and comparing it to the COVID-19 death rates.
Dashboard for the app monitoring Community-based Management of Acute Malnutrition in Burundi
Malnutrition causing thousands of hospital admissions - get the data
This project uses facial landmark detection to analyze the nasal depth of children, aiming to contribute to malnutrition detection
ENSAE-ENSAI Formation Continue (Cepe)/OpenClassrooms Data Analyst 2022-2023 - Projet 4
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