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unsupervised-learning

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UniPD - DS Machine Learning for Human Data Subject 2025-2026 Q1. Unsupervised techniques are used to gather insights from various sources of human data (Breathing, Heart rate, Movement...)

  • Updated Jan 11, 2026
  • Jupyter Notebook

🩺 Predict diabetes through machine learning using NHANES data. Analyze health indicators for accurate classification of individuals as diabetic or non-diabetic.

  • Updated Jan 11, 2026
  • Jupyter Notebook

πŸ’³ Detect fraudulent credit card transactions using machine learning, tackling data imbalance with a complete end-to-end data science workflow.

  • Updated Jan 11, 2026
  • Jupyter Notebook

🧠 Analyze Alzheimer's Disease using an Optimal Transport-based multi-modal fusion framework for MRI and PET data, enhancing diagnostic accuracy and speed.

  • Updated Jan 11, 2026
  • Jupyter Notebook

🎀 Compress speech to 5 Hz with DC-Speech-VAE, ensuring high perceptual quality and enabling robust continuous representations for generative models.

  • Updated Jan 11, 2026
  • Python

🌟 Explore free AI resources to enhance your learning and skills in Artificial Intelligence. Access curated materials and start your journey today.

  • Updated Jan 11, 2026

🏦 Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.

  • Updated Jan 11, 2026
  • Python

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