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Hi there 👋

  • 🔭 I am interested in Data Science and Machine Learning
  • 🧭 See my ML / DL / AI Engineering / NLP / GANs / LLMs specialization certificates
  • 🌱 I am currently learning more about Zig
  • 🎯 I am working on strengthening Kotlin and Compose skills
  • 🎲 I like Chess and other strategy games
  • 💬 Ask me about mechanical watches
  • 📫 How to reach me: preferably by e-mail
  • 😄 Fun fact: I am not affiliated with any perfum company

More about me on my website!

⚡ GitHub Stats

Rémy Marquis's Projects

jglovier.github.io icon jglovier.github.io

:notebook: Source for joelglovier.com. Built with Jekyll and hosted on GitHub Pages.

kaggle-titanic icon kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

kco-materials icon kco-materials

The projects and materials that accompany the Kotlin Coroutines by Tutorials book

kiamol icon kiamol

Learn Kubernetes in a Month of Lunches

learning icon learning

Becoming 1% better at data science everyday

machine-learning-roadmap icon machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

magiskonwsa icon magiskonwsa

Integrate Magisk root and Google Apps (OpenGApps) into WSA (Windows Subsystem for Android)

minimal icon minimal

Minimal is a Jekyll theme for GitHub Pages

minimalist icon minimalist

Minimalist is a Jekyll theme inspired by the Minimal theme

minimally-sufficient-pandas icon minimally-sufficient-pandas

There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.

ml-coursera-python-assignments icon ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mlops-guide.github.io icon mlops-guide.github.io

🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.

mlops.toys icon mlops.toys

🎲 A curated list of MLOps projects, tools and resources

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