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Early Sepsis Prediction Using Machine Learning/Deep Learning
This project demonstrates the use of advanced time series forecasting techniques to predict store sales for Favorita stores. It showcases the implementation of both Amazon SageMaker's DeepAR algorithm and a custom deep learning time series model, along with the setup of a CI/CD pipeline in AWS for model deployment and monitoring.
AAI-511 Team 7 Final Project
Amazon Deforestation Forecasting Using AI/ML and IoT Data
Process and analyze aerial imagery of military airfields and count and classify the aircraft present. Powered by fine-tuned Ultralytics Yolov8.
Q&A chatbot powered by fine-tuned distilBERT using HuggingFace Transformers
NLP agent that can interpret natural language patient symptom descriptions and produce a medical diagnosis. Powered by ELMo embedding and Naive Bayes Classifier (NBC)
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