Ayush Kumar's Portfolio

Introduction

Welcome to Ayush Kumar's repository, showcasing a selection of his noteworthy projects in the fields of Natural Language Processing (NLP) and Machine Learning (ML). Ayush Kumar is a dedicated and innovative researcher who has led initiatives addressing challenges in news classification and disease prediction.

NLP-Based Multimodal News Tagging Project

• Objective: Addressing the challenges of news classification in the era of information abundance.
• Approach:
  • Integrated natural language understanding and convolutional methods for enhanced news ranking by analyzing descriptions, titles, and tags.
  • Implemented and compared various deep learning models, including single-channel CNN, multichannel CNN, and multimodal CNN, to tag news categories.
• Technologies Used:
  • PyTorch for model development
  • SKlearn for model evaluation

Enhanced Heart Disease Classification with Parallelization & ML Integration

• Objective: Groundbreaking study in machine learning for disease prediction and medical diagnosis.
• Approach:
  • Utilized diverse algorithms across three UCI disease databases, showcasing adaptability in addressing various medical conditions.
  • Implemented parallel processing techniques, reducing training time and ensuring quick and effective disease prediction.
• Technologies Used:
  • Machine learning algorithms