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TruongDat05/README.md

Truong Quoc Dat

Applied Mathematics

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About

3rd-year Applied Mathematics student at Hanoi, working at the intersection of mathematics and machine learning.

I care about understanding why algorithms work — not just running them. My background in applied math means I tend to think in terms of proofs, gradients, and geometric intuitions before reaching for a library.

Currently focused on:

  • Supervised & unsupervised learning with scikit-learn
  • Statistical modeling and probabilistic thinking
  • Data storytelling with matplotlib / seaborn
  • Exploring deep learning fundamentals

Stack

Area Tools
Languages Python, LaTeX
ML / Data NumPy, Pandas, scikit-learn, Matplotlib, Seaborn
Environment Jupyter, Git, VS Code

Stats

 

Hanoi, Vietnam 🇻🇳 · Open to research collaborations & internships

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  1. machine-learning-notes-and-code machine-learning-notes-and-code Public

    Machine Learning Specialization - Study Notes & Labs

    Jupyter Notebook 440 76