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hybrid-learning

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A machine learning project that analyzes Amazon product reviews to classify them into Positive, Negative, or Neutral sentiments. It showcases the use of both unsupervised learning for clustering unlabeled data and supervised learning for building a predictive sentiment classifier. Deployment Link Below.

  • Updated May 19, 2025
  • Jupyter Notebook

DIAMOND Hybrid Agent Simulation Welcome to the DIAMOND Hybrid Agent Simulation repository! This project simulates an advanced environment where agents utilize cutting-edge AI methodologies, including quantum-inspired neural networks, genetic algorithms, and adaptive learning. Built to explore complex decision-making in dynamic landscapes, the simul

  • Updated Feb 13, 2026
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🛰️ Geospatial Land Classification study using Hybrid CNN-ViT architectures. Implemented across TensorFlow & PyTorch, featuring custom satellite imagery ETL and comparative analysis of Attention vs. Convolutions. Developed for the IBM Professional Capstone.

  • Updated Feb 17, 2026
  • Jupyter Notebook

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