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30 Python Projects that include NLP, Web Applications, Database Connectivity, Games Apps, and Many other Applications.
Resources for Advancing into Analytics: From Excel to R and Python by George Mount (O'Reilly Media, 2021)
Code used in our AWS Networking Masterclass - Amazon VPC and Hybrid Cloud course
Personal notes for SAA-C02 test from: https://learn.cantrill.io
AWS Certified Developer – Associate (DVA-C01) Notes
AWS Certified DevOps Engineer Notes
AWS Certified Solutions Architect - Associate (SAA-S02) Exam Notes
AWS Certified Solutions Architect – Professional (SAP-C01) Notes
SOA-C01 (AWS Certified SysOps Associate) Notes
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
Regularly Updated | Collection of the best Data Science Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet as well
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Analysis of Stack Overflow 2018 Developer Survey data to explore the differences between data scientists and non-data scientists.
📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.
A booklet on machine learning systems design with exercises
My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867
Sample code for the Model-Based Machine Learning book.
Companion webpage to the book "Mathematics For Machine Learning"
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Practical Python Programming (course by @dabeaz)
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 ;)
The "Python Machine Learning (3rd edition)" book code repository
Python Data Science Handbook: full text in Jupyter Notebooks
A visual introduction to probability and statistics.
Notes and exercise attempts for "An Introduction to Statistical Learning"
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.