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1. Machine_Learning Machine_Learning Public

   A personal collection of Jupyter notebooks created while learning machine learning. Includes practical examples, code, and notes on supervised and unsupervised algorithms to support hands-on learni…

   Jupyter Notebook

2. ULEOUR-Case-Study ULEOUR-Case-Study Public

   This case study analyzes a Netflix dataset of TV shows and movies using unsupervised learning and statistical methods in R. It covers data analysis, outlier detection, and clustering to uncover pat…

   Jupyter Notebook

3. Adaptive-Contextual-Compression-RAG Adaptive-Contextual-Compression-RAG Public

   ACC-RAG is a simple Streamlit-based RAG app for asking questions over uploaded documents. It is inspired by the ACC-RAG paper, which proposes adaptive context compression to keep only the most usef…

   Python

4. brain_tumor_classifier brain_tumor_classifier Public

   Brain Tumor Classifier is my hands-on image classification project, applying what I learned in computer vision to detect brain tumors from MRI scans.

   Jupyter Notebook

5. ColPali-Vision-RAG ColPali-Vision-RAG Public

   ColPali RAG Visual Expert is a Vision-RAG (Retrieval-Augmented Generation) application built to help users interact with complex PDF documents. Instead of relying only on text extraction, it uses v…

   Python

6. GenSys-AI4SE-Project GenSys-AI4SE-Project Public

   GenSys leverages Generative AI to automate SysML 2.0 model generation, explanation and modification. It enables users to create, understand, and edit SysML diagrams from natural language prompts or…