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0xHadyy/README.md

Hadyy

Machine Learning & Data Science | CS Graduate

  • Documenting and Studying ML/DS full-time
  • Building real projects with end-to-end pipelines, clean code, and full documentation.
  • Sharing my progress and explaining ML/DS on my YT-Channel

Projects

  • 📘 ML Theory & Notebooks
    ML notes and derivations from An Introduction to Statistical Learning. Includes math, Python code, and PDFs.
    → Repository

📫 Contact

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  1. isl-python isl-python Public

    Documenting my study of" An Introduction to Statistical Learning with Python " book - theory, code, exercises, notes and my progress all the way through

    Jupyter Notebook 216 21

  2. LogisticLearn LogisticLearn Public

    Logistic Regression from Scratch - NumPy implementation with L1 and L2 ,cross-validation, Grid-Search, and sklearn benchmarks. Complete math derivations + code

    Jupyter Notebook 20 4

  3. VeKctor-Engine VeKctor-Engine Public

    A Hybrid Information Retrieval system featuring sparse retrieval (TF-IDF, BM25), dense retrieval (Sentence Transformers + FAISS), and ML re-ranking

    Python 3

  4. Linear-Regression-Scratch Linear-Regression-Scratch Public

    A detailed Linear Regression implementation from scratch with only NumPy - fully documented covering all the theory, math and code

    Python 16 3

  5. Audio-To-TextBro Audio-To-TextBro Public

    A telegram bot that transfer your" Audio to Text" using diffrent AI models

    Python 7

  6. Dirty-Task-Done-Dirt-Fast Dirty-Task-Done-Dirt-Fast Public

    Multi fucntional telegram bot

    Go 5 1