<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Education on Noureddine RAMDI</title><link>https://ramdi.fr/tags/education/</link><description>Recent content in Education on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/education/index.xml" rel="self" type="application/rss+xml"/><item><title>Algorithmic trading with AI: the Harvard RBI framework for disciplined strategy development</title><link>https://ramdi.fr/github-stars/algorithmic-trading-with-ai-the-harvard-rbi-framework-for-disciplined-strategy-development/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/algorithmic-trading-with-ai-the-harvard-rbi-framework-for-disciplined-strategy-development/</guid><description>This repo teaches algorithmic trading with a disciplined Research-Backtest-Implement method using Python and AI tools. It stresses avoiding emotional mistakes with systematic workflows.</description></item><item><title>awesome-phd-advice: a community-curated collection of PhD guidance</title><link>https://ramdi.fr/github-stars/awesome-phd-advice-a-community-curated-collection-of-phd-guidance/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-phd-advice-a-community-curated-collection-of-phd-guidance/</guid><description>A comprehensive community-maintained collection of PhD advice links covering admissions, research, writing, and academic career preparation. No code, just curated wisdom.</description></item><item><title>ChatTutor: enabling AI tutors to teach STEM visually with a Vue + Bun full-stack</title><link>https://ramdi.fr/github-stars/chattutor-enabling-ai-tutors-to-teach-stem-visually-with-a-vue-bun-full-stack/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/chattutor-enabling-ai-tutors-to-teach-stem-visually-with-a-vue-bun-full-stack/</guid><description>ChatTutor integrates AI tutors with visual tools like Geogebra in a Vue + Bun full-stack. It supports multiple LLM providers and offers a digital whiteboard for interactive STEM learning.</description></item><item><title>How Project-Ideas-And-Resources turns project specs into coder fuel</title><link>https://ramdi.fr/github-stars/how-project-ideas-and-resources-turns-project-specs-into-coder-fuel/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-project-ideas-and-resources-turns-project-specs-into-coder-fuel/</guid><description>Project-Ideas-And-Resources offers 45+ tiered app project specs with user stories and learning links, crafting a self-directed curriculum that beats tutorial overload.</description></item><item><title>Learning C programming with hands-on projects on LabEx</title><link>https://ramdi.fr/github-stars/learning-c-programming-with-hands-on-projects-on-labex/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/learning-c-programming-with-hands-on-projects-on-labex/</guid><description>Explore LabEx&amp;rsquo;s curated C programming projects teaching low-level concepts through games and data structures, all in a browser playground with no setup.</description></item><item><title>Mathematics-for-ML: a curated guide to the math behind machine learning</title><link>https://ramdi.fr/github-stars/mathematics-for-ml-a-curated-guide-to-the-math-behind-machine-learning/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/mathematics-for-ml-a-curated-guide-to-the-math-behind-machine-learning/</guid><description>Mathematics-for-ML is a curated repository aggregating key resources on the mathematical foundations of machine learning. It collects books, papers, and lectures to build strong math intuition for ML practitioners.</description></item><item><title>ML-From-Scratch: Exploring Machine Learning Fundamentals with Pure Python and NumPy</title><link>https://ramdi.fr/github-stars/ml-from-scratch-exploring-machine-learning-fundamentals-with-pure-python-and-numpy/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ml-from-scratch-exploring-machine-learning-fundamentals-with-pure-python-and-numpy/</guid><description>ML-From-Scratch offers bare-bones Python implementations of key machine learning algorithms using only NumPy, focusing on transparency over efficiency. Explore how it demystifies ML fundamentals.</description></item><item><title>NASA JPL Open Source Rover: A hands-on educational robotics platform</title><link>https://ramdi.fr/github-stars/nasa-jpl-open-source-rover-a-hands-on-educational-robotics-platform/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/nasa-jpl-open-source-rover-a-hands-on-educational-robotics-platform/</guid><description>Explore NASA JPL&amp;rsquo;s Open Source Rover, a comprehensive educational robotics platform combining hardware assembly and software control on Raspberry Pi. A practical guide for robotics enthusiasts.</description></item><item><title>Navigating AI learning with bishwaghimire's AI learning roadmaps</title><link>https://ramdi.fr/github-stars/navigating-ai-learning-with-bishwaghimire-s-ai-learning-roadmaps/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-ai-learning-with-bishwaghimire-s-ai-learning-roadmaps/</guid><description>A practical guide to bishwaghimire&amp;rsquo;s AI learning roadmaps repository, offering modular, career-focused paths for AI and ML self-learners, with setup essentials and a flexible curriculum.</description></item><item><title>OpenBoard: A cross-platform interactive whiteboard with embedded web widgets for classrooms</title><link>https://ramdi.fr/github-stars/openboard-a-cross-platform-interactive-whiteboard-with-embedded-web-widgets-for-classrooms/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/openboard-a-cross-platform-interactive-whiteboard-with-embedded-web-widgets-for-classrooms/</guid><description>OpenBoard is a C++/Qt-based interactive whiteboard supporting Windows, macOS, and Debian. It embeds web widgets for interactive teaching, with community-driven translations.</description></item><item><title>OSSU Data Science: A curriculum-as-code approach to self-taught data science education</title><link>https://ramdi.fr/github-stars/ossu-data-science-a-curriculum-as-code-approach-to-self-taught-data-science-education/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/ossu-data-science-a-curriculum-as-code-approach-to-self-taught-data-science-education/</guid><description>OSSU Data Science offers a fully open-source, GitHub-based undergraduate curriculum using free courses from top universities. Track progress with GitHub checkboxes over an estimated two-year timeline.</description></item><item><title>Prompt-Engineering-Jumpstart: a practical, pattern-based guide to mastering prompt engineering fundamentals</title><link>https://ramdi.fr/github-stars/prompt-engineering-jumpstart-a-practical-pattern-based-guide-to-mastering-prompt-engineering-fundamentals/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/prompt-engineering-jumpstart-a-practical-pattern-based-guide-to-mastering-prompt-engineering-fundamentals/</guid><description>Prompt-Engineering-Jumpstart is an open-source eBook teaching 14 core prompt engineering patterns with practical examples, aimed at non-technical AI users and emphasizing universal AI interaction grammar.</description></item><item><title>SQL Noir: An interactive mystery game that teaches real SQL with Supabase and Next.js</title><link>https://ramdi.fr/github-stars/sql-noir-an-interactive-mystery-game-that-teaches-real-sql-with-supabase-and-next-js/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/sql-noir-an-interactive-mystery-game-that-teaches-real-sql-with-supabase-and-next-js/</guid><description>SQL Noir gamifies SQL learning by turning queries into detective work on a real PostgreSQL database with a Next.js frontend and Supabase backend.</description></item><item><title>SQL-101: A progressive, beginner-friendly curriculum for mastering SQL and relational databases</title><link>https://ramdi.fr/github-stars/sql-101-a-progressive-beginner-friendly-curriculum-for-mastering-sql-and-relational-databases/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/sql-101-a-progressive-beginner-friendly-curriculum-for-mastering-sql-and-relational-databases/</guid><description>SQL-101 offers a structured, RDBMS-agnostic curriculum covering SQL basics to advanced topics like indexing and transactions, with code examples and exercises for beginners.</description></item><item><title>Tracing deep learning step-by-step in Excel: a hands-on guide to ai-by-hand-excel</title><link>https://ramdi.fr/github-stars/tracing-deep-learning-step-by-step-in-excel-a-hands-on-guide-to-ai-by-hand-excel/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/tracing-deep-learning-step-by-step-in-excel-a-hands-on-guide-to-ai-by-hand-excel/</guid><description>Explore how ai-by-hand-excel implements deep learning architectures like Transformers entirely in Excel formulas, exposing the math behind AI step-by-step without code.</description></item><item><title>Building machine learning intuition through engineering analogies with thereisnospoon</title><link>https://ramdi.fr/github-stars/building-machine-learning-intuition-through-engineering-analogies-with-thereisnospoon/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/building-machine-learning-intuition-through-engineering-analogies-with-thereisnospoon/</guid><description>There Is No Spoon offers a unique ML primer for software engineers, using physical analogies to build deep intuition for neural networks and architectures beyond memorization.</description></item><item><title>Curated machine learning video courses on YouTube by dair-ai/ML-YouTube-Courses</title><link>https://ramdi.fr/github-stars/curated-machine-learning-video-courses-on-youtube-by-dair-ai-ml-youtube-courses/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/curated-machine-learning-video-courses-on-youtube-by-dair-ai-ml-youtube-courses/</guid><description>A community-curated list of free machine learning courses on YouTube that organizes and vets educational content for practical learners and enthusiasts.</description></item><item><title>Inside the 1,000-line operating system: A minimal yet instructive OS kernel in C</title><link>https://ramdi.fr/github-stars/inside-the-1000-line-operating-system-a-minimal-yet-instructive-os-kernel-in-c/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-the-1000-line-operating-system-a-minimal-yet-instructive-os-kernel-in-c/</guid><description>An educational OS implemented in exactly 1,000 lines of C code, revealing essential kernel design and tradeoffs. A hands-on learning tool for OS fundamentals.</description></item><item><title>A curated 100-day machine learning journey with code and resources</title><link>https://ramdi.fr/github-stars/a-curated-100-day-machine-learning-journey-with-code-and-resources/</link><pubDate>Mon, 04 May 2026 10:23:03 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-curated-100-day-machine-learning-journey-with-code-and-resources/</guid><description>Explore a 100-day machine learning coding challenge combining classical algorithms, deep learning, and curated resources. A practical, day-by-day learning path for self-directed devs.</description></item><item><title>A deep dive into JavaScript with "You Don't Know JS Yet": mastering language internals</title><link>https://ramdi.fr/github-stars/a-deep-dive-into-javascript-with-you-don-t-know-js-yet-mastering-language-internals/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-deep-dive-into-javascript-with-you-don-t-know-js-yet-mastering-language-internals/</guid><description>&amp;ldquo;You Don&amp;rsquo;t Know JS Yet&amp;rdquo; is a comprehensive, free online book series that explores JavaScript&amp;rsquo;s core mechanics like scope, closures, and type coercion with rare depth and clarity.</description></item><item><title>Frappe LMS: Building an extensible learning platform on the Frappe Framework</title><link>https://ramdi.fr/github-stars/frappe-lms-building-an-extensible-learning-platform-on-the-frappe-framework/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/frappe-lms-building-an-extensible-learning-platform-on-the-frappe-framework/</guid><description>Frappe LMS uses the Frappe Framework&amp;rsquo;s doctype system to model courses, chapters, and lessons as first-class entities, enabling quick customization and live class support with Zoom integration.</description></item><item><title>PageLM: orchestrating multi-provider LLM workflows for interactive learning</title><link>https://ramdi.fr/github-stars/pagelm-orchestrating-multi-provider-llm-workflows-for-interactive-learning/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/pagelm-orchestrating-multi-provider-llm-workflows-for-interactive-learning/</guid><description>PageLM is an open-source TypeScript platform orchestrating multi-LLM workflows to generate interactive educational content from documents with real-time streaming and multi-backend support.</description></item><item><title>Understanding LLM internals: a hands-on guide to transformers and attention math</title><link>https://ramdi.fr/github-stars/understanding-llm-internals-a-hands-on-guide-to-transformers-and-attention-math/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/understanding-llm-internals-a-hands-on-guide-to-transformers-and-attention-math/</guid><description>A curated repo breaking down large language model internals with numeric attention math, tokenization, and transformer architecture, targeting engineers who want to understand LLMs under the hood.</description></item><item><title>understanding-math: a curated knowledge base for mathematical literacy and notation</title><link>https://ramdi.fr/github-stars/understanding-math-a-curated-knowledge-base-for-mathematical-literacy-and-notation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/understanding-math-a-curated-knowledge-base-for-mathematical-literacy-and-notation/</guid><description>understanding-math is a curated repository aggregating resources on mathematical literacy, notation, and proof techniques, bridging math concepts with programming needs in ML and cryptography.</description></item><item><title>Inside DJI's RoboMaster-SDK: A C Library for Educational Robot Control</title><link>https://ramdi.fr/github-stars/inside-dji-s-robomaster-sdk-a-c-library-for-educational-robot-control/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-dji-s-robomaster-sdk-a-c-library-for-educational-robot-control/</guid><description>DJI&amp;rsquo;s RoboMaster-SDK is a C library providing hardware abstraction for the RoboMaster EP educational robot, enabling motor and sensor control via a minimal API.</description></item><item><title>tinyCore: An open-source ESP32-S3 educational development board with full hardware transparency</title><link>https://ramdi.fr/github-stars/tinycore-an-open-source-esp32-s3-educational-development-board-with-full-hardware-transparency/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/tinycore-an-open-source-esp32-s3-educational-development-board-with-full-hardware-transparency/</guid><description>tinyCore offers a fully open hardware ESP32-S3 board designed for embedded systems education, with complete KiCad/Altium files, WiFi/BLE, IMU, and Arduino IDE support.</description></item><item><title>build-your-own-x: learning foundational software by building it from scratch</title><link>https://ramdi.fr/github-stars/build-your-own-x-learning-foundational-software-by-building-it-from-scratch/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/build-your-own-x-learning-foundational-software-by-building-it-from-scratch/</guid><description>The build-your-own-x repo offers step-by-step tutorials to re-implement core technologies across domains, fostering deep understanding through hands-on coding.</description></item><item><title>docker_practice: a comprehensive open-source Docker learning book with containerized local reading</title><link>https://ramdi.fr/github-stars/docker-practice-a-comprehensive-open-source-docker-learning-book-with-containerized-local-reading/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/docker-practice-a-comprehensive-open-source-docker-learning-book-with-containerized-local-reading/</guid><description>docker_practice offers a systematic Docker learning book with basics, advanced topics, and practical tooling. It uses Docker and mdPress for local reading, blending container tech with education.</description></item><item><title>Microsoft's ML-For-Beginners: A Project-Based Classic Machine Learning Curriculum</title><link>https://ramdi.fr/github-stars/microsoft-s-ml-for-beginners-a-project-based-classic-machine-learning-curriculum/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/microsoft-s-ml-for-beginners-a-project-based-classic-machine-learning-curriculum/</guid><description>Microsoft&amp;rsquo;s ML-For-Beginners offers a 12-week, project-based classic machine learning course using Scikit-learn and Jupyter Notebooks, focusing on foundational concepts with interactive lessons and quizzes.</description></item><item><title>Deconstructing the Modern Computer Science Curriculum through Developer-Y's cs-video-courses</title><link>https://ramdi.fr/github-stars/deconstructing-the-modern-computer-science-curriculum-through-developer-y-s-cs-video-courses/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/deconstructing-the-modern-computer-science-curriculum-through-developer-y-s-cs-video-courses/</guid><description>A deep dive into Developer-Y&amp;rsquo;s cs-video-courses repo, a curated list of free university-level CS video courses shaping modern computer science education.</description></item><item><title>Dive into Deep Learning (D2L.ai) Chinese Edition: An interactive textbook bridging theory and code</title><link>https://ramdi.fr/github-stars/dive-into-deep-learning-d2l-ai-chinese-edition-an-interactive-textbook-bridging-theory-and-code/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/dive-into-deep-learning-d2l-ai-chinese-edition-an-interactive-textbook-bridging-theory-and-code/</guid><description>Dive into Deep Learning Chinese edition offers an interactive, code-driven deep learning textbook in Python, integrating theory with runnable examples for hands-on learning.</description></item><item><title>leetcode-master: a structured roadmap for mastering data structures and algorithms with LeetCode</title><link>https://ramdi.fr/github-stars/leetcode-master-a-structured-roadmap-for-mastering-data-structures-and-algorithms-with-leetcode/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/leetcode-master-a-structured-roadmap-for-mastering-data-structures-and-algorithms-with-leetcode/</guid><description>leetcode-master offers a curated, progressive path to mastering algorithms with LeetCode problems, detailed C++ explanations, video tutorials, and multi-language solutions.</description></item></channel></rss>