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Bayesian Data Analysis course at Aalto
Bayesian Data Analysis demos for Python
Materials for the PyData San Francisco 2016 visualization tutorial
Companion code to my O'Reilly book "Flask Web Development", second edition.
:earth_americas: Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'
Tutorial notebook for hyperparameter tuning for a model set using Pipeline
A directory of the best-looking themes for Jekyll blogs
Learning Probabilistic Graphical Models in R
My solutions to Leet Code programming challenges
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Natural Language Processing with TensorFlow, published by Packt
Code samples for my book "Neural Networks and Deep Learning"
Examples and libraries for "Natural Language Processing in Action" book
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Statistical Rethinking course and book package
101 real world web scraping exercises in Python 3 for data journalists
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
Learning Python through test-driven development of games and puzzles
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.