Prediction Malnutrition with AI
summary
Predicting malnutrition using AI methods, likely applied to public health data, with discussion of models and tools used for building those predictions; includes practical examples or workflows for implementing these AI-based prediction systems. The talk focuses on using Python-based machine learning techniques and associated libraries to identify and forecast malnutrition risks from relevant datasets.
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