John-max513's Stars
joelgrus/data-science-from-scratch
code for Data Science From Scratch book
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
trimstray/the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
thomasnield/anaconda_regular_expressions
thomasnield/oreilly_essential_math_for_data_science_book
Book code for "Essential Math for Data Science"
thomasnield/oreilly_math_fundamentals_data_science
draner/P05-Segmentez-des-clients-d-un-site-e-commerce
Projet 5 de ma Formation d'Ingénieur IA
draner/AppP7
Webapp du Projet 7 de ma formation d'Ingénieur IA
draner/API_P08
API du projet 8 de ma formation d'ingénieur IA
draner/APP_P08
WebApp du projet 08 de ma formation d'ingénieur IA
draner/AppP3
draner/App_P09
Application Web correspondant au projet 9 de ma formation d'ingénieur IA
draner/draner
Config files for my GitHub profile.
marceloprates/prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
th-ch/youtube-music
YouTube Music Desktop App bundled with custom plugins (and built-in ad blocker / downloader)
geovens/gInk
An easy to use on-screen annotation software inspired by Epic Pen.
IceWhaleTech/CasaOS
CasaOS - A simple, easy-to-use, elegant open-source Personal Cloud system.
rzashakeri/beautify-github-profile
This repository will assist you in creating a more beautiful and appealing github profile, and you will have access to a comprehensive range of tools and tutorials for beautifying your github profile. 🪄 ⭐
FredGainza/generateACP
Génération data et graphs d'une ACP
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
awslabs/gluonts
Probabilistic time series modeling in Python
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
mrdbourke/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.
MaterializeInc/materialize
The Cloud Operational Data Store: use SQL to transform, deliver, and act on fast-changing data.