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uit

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The project focuses on Explainable AI (XAI) by utilizing Large Language Models (LLMs) and Chain-of-Thought (CoT) prompting to not only classify hate speech but also extract rationales and implied statements. We leverage the Qwen2.5-3B model fine-tuned with QLoRA to achieve state-of-the-art performance.

  • Updated Apr 29, 2026
  • Jupyter Notebook

This repository contains the full implementation of a machine learning pipeline developed for the Kaggle competition Loan Approval Prediction (Playground Series - Season 4, Episode 10). Our goal is to predict whether a loan will be approved based on applicant information and credit history, leveraging state-of-the-art ML models and feature engineer

  • Updated Sep 17, 2025
  • Jupyter Notebook

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