Olivier Brunet's Projects
A Repository for Machine Learning Algorithms for easy Understanding
This is Andrew NG Coursera Handwritten Notes.
All the book's exercises i've done for learning purposes
a curated list of site and links to find open data sets
Some of the most interesting Cheat Sheets i've found so far with my own ones // work always in progress :)
Projet Big Data - frameworks / écosystèmes HADOOP & SPARK - But : comprendre les évolutions des énergies renouvelables, prédire les rendements énergétiques d'installations photovoltaiques & éoliennes
A Data Science project aimed at predicting the total greenhouse gas emissions of buildings in Seattle city.
A technical report on convolution arithmetic in the context of deep learning
Introduction to Git for Data Science by Greg Wilson
all my current chall private repo WiP
Exercices in various languages (Python, Scala, Shell, SQL, Go...) to improve your coding skills
Cheat Sheets
Various projects with PySpark
An other year, an other Kaggle public kernels on all kind of topics, but also with Zindi & E.N.S challenges :)
Leading to the dataviz you need
All my jupyter notebooks for learning Data Science purpose
Deepmath : Mathématiques des réseaux de neurones
My solutions to some challenges available here https://challengedata.ens.fr
Analysis of various datasets with Python, statistics, data viz with Matplotlib & Seaborn
All my work (exercices and projects) during my training at FITEC/Devenez.fr
Notes aggregated from various sources in order to prepare the Google Cloud Platform Profesionnal Data Engineer Certification + Labs & Practice, tips, references...
A little bot that automates a random number of commits on a daily basis in order to turn your GitHub page green
Basic apps / scripts that cover the most important functionality of each component of the Hadoop framework. Tested on serveral distributions such as MapR, Hortonworks but mainly on Cloudera CDP
Notes and Exercises for Harvard's Stats 110 Course
Notebooks and code for the book "Introduction to Machine Learning with Python"
All my Kaggle kernels (public jupyter notebooks) as a competition contributor - COMPUTER VISION, N.L.P and more
LeetCode Solution
Presentation of tools and methods to deal with huge volume of data, and exercices, projects with the Hadoop framework
Get prepared for the Looker certifications ! Theory & Practice : developement with LookML, Buisness / Data Analysis
All the exercises and some variations from the video tutorial.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent