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Divya171997 / Text-Analytics-eXtreme-Multi-Label-Classification-XMLC

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Multi-label classification is one of the standard tasks in text analytics. The objective is to perform an eXtreme multi-label classification (XMLC) on two datasets( https://www.kaggle.com/hsrobo/titlebased-semantic-subject-indexing) -EconBiz( ZBW - Leibniz Information Centre for Economics from July 2017) and PubMed(5th BioASQ challenge on large-…

evaluation feature-extraction data-preprocessing model-building f1-score load-data hamming-loss
  • Updated Jun 8, 2020
  • Jupyter Notebook

vijayagopalsb / ai-based-patient-appointment

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This project aims to develop an AI-powered system for scheduling patient appointments based on medical history, symptoms, and doctor availability. It includes synthetic dataset generation, exploratory data analysis (EDA), and a machine learning model to predict consultation chains, optimizing healthcare workflow for efficient patient care.

python data-science machine-learning ai exploratory-data-analysis ml eda artificial-intelligence appointment-scheduling model-evaluation patient-management synthetic-data-generation hamming-loss prediction-models patient-appointment-system doctor-patient-matching
  • Updated Apr 26, 2025
  • Python

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