12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Learn how to develop, deploy and iterate on production-grade ML applications.
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Starter files, final projects, and FAQ for my Complete JavaScript course
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
TranslatedBecome a Java master in 27 days
Source code for Hacker101.com - a free online web and mobile security class.
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
Material de apoio gamificado com resumos, tarefas e links úteis para estudo sobre Versionamento de Código com Git e GitHub.
Get started using GitHub in less than an hour.
Claude Code guide in three levels, Beginner to Advanced: hands-on lessons with checked exercises, every volatile fact cited to its source. Independent community guide.
A functional javascript workshop. No libraries required (i.e. no underscore), just ES5.
:mortar_board: The sequel to shader-school: Learn the WebGL API
Quantitative Research Handbook
Quantitative Economics
Contains materials for my technical presentation exploring Linux malware tradecraft—from userland and fileless techniques to kernel rootkits, ftrace, eBPF, and defensive strategies.
Coq development for the course "Mechanized semantics", Collège de France, 2019-2020
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
Companion Coq development for Xavier Leroy's 2021 lectures on program logics
Object-Oriented JavaScript Bootcamp
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