Olivier Brunet's Projects
All my memory techniques & training stuff with Anki decks (a program which makes remembering things easier with spaced repetition)
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
:fire: A series of code examples for all sorts of machine learning tasks and applications.
Introduction to Machine learning with Python, 4h interactive workshop
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.
Companion webpage to the book "Mathematics For Machine Learning"
Instructional notebooks on music information retrieval.
Personnal backup of my missions and challenges' snippets.
An aggregation of all my Data Science challenges, studies, projects... from Kaggle / ENS Data Challenges / Zindi - various ML tasks : regression / classification / computer vision / N.L.P / recommendation engine
Jupyter notebooks for the Natural Language Processing with Transformers book
Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
My Github profile
My Personnal Static Web Site https://obrunet.github.io/ with a new design
Mes projets ou activités sur Open Class Rooms
Practice your pandas skills!
In this course, you will learn what probability theory fundamentals that are necessary for Machine Learning .
PyLinux is a Python Interface to Linux System Infos
Few self made challenges in order to improve my Pythonic skills
Some simple exercices to get familiar with Scala
Implementation of the "CCF: Fast and Scalable Connected Component Computation in MapReduce" paper with Spark. Study of its scalability on several datasets using various clusters' sizes on Databricks and Google Cloud Platform (GCP)
How to manipulate data with Spark in Scala
VIP cheatsheets for Stanford's CS 229 Machine Learning
A website displaying hundreds of charts made with Python
Various projects in order to improve my scraping skills :)