Machine Learning
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Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho
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Сітка:📈 Аналітичний огляд Telegram-каналу Machine Learning
Канал Machine Learning (@machinelearning9) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 40 403 підписників, посідаючи 3 324 місце в категорії Технології та додатки та 225 місце у регіоні Сирія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 40 403 підписників.
За останніми даними від 13 липня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 421, а за останні 24 години на 25, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 2.65%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.74% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 1 070 переглядів. Протягом першої доби публікація в середньому набирає 701 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 4.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як distance, insidead, gpu, learning, degree.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Завдяки високій частоті оновлень (останні дані отримано 14 липня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.
40 403
Підписники
+2524 години
+1547 днів
+42130 день
Архів дописів
40 403
🔥 Trending Repository: awesome-n8n-templates
📝 Description: Supercharge your workflow automation with this curated collection of n8n templates! Instantly connect your favorite apps-like Gmail, Telegram, Google Drive, Slack, and more-with ready-to-use, AI-powered automations. Save time, boost productivity, and unlock the true potential of n8n in just a few clicks.
🔗 Repository URL: https://github.com/enescingoz/awesome-n8n-templates
🌐 Website: https://n8n.partnerlinks.io/h1pwwf5m4toe
📖 Readme: https://github.com/enescingoz/awesome-n8n-templates#readme
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👀 Watchers: 161
🍴 Forks: 2.7K forks
💻 Programming Languages: Not available
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40 403
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📝 Description: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🔗 Repository URL: https://github.com/rasbt/LLMs-from-scratch
🌐 Website: https://amzn.to/4fqvn0D
📖 Readme: https://github.com/rasbt/LLMs-from-scratch#readme
📊 Statistics:
🌟 Stars: 64.4K stars
👀 Watchers: 589
🍴 Forks: 9K forks
💻 Programming Languages: Jupyter Notebook - Python
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#python #machine_learning #ai #deep_learning #pytorch #artificial_intelligence #transformer #gpt #language_model #from_scratch #large_language_models #llm #chatgpt================================== 🧠 By: https://t.me/DataScienceM
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Хочешь понять язык своей кожи и настроить рутину так, чтобы видеть реальный результат? Загляни сюда — здесь с тобой говорят на языке тела и чувств, не шаблонов.
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40 403
🔥 Trending Repository: vllm
📝 Description: A high-throughput and memory-efficient inference and serving engine for LLMs
🔗 Repository URL: https://github.com/vllm-project/vllm
🌐 Website: https://docs.vllm.ai
📖 Readme: https://github.com/vllm-project/vllm#readme
📊 Statistics:
🌟 Stars: 55.5K stars
👀 Watchers: 428
🍴 Forks: 9.4K forks
💻 Programming Languages: Python - Cuda - C++ - Shell - C - CMake
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40 403
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📝 Description: 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.
🔗 Repository URL: https://github.com/microsoft/mcp-for-beginners
📖 Readme: https://github.com/microsoft/mcp-for-beginners#readme
📊 Statistics:
🌟 Stars: 9.3K stars
👀 Watchers:
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💻 Programming Languages: Python - Java - Jupyter Notebook - TypeScript - C# - Rust
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40 403
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📝 Description: A curated list of awesome commands, files, and workflows for Claude Code
🔗 Repository URL: https://github.com/hesreallyhim/awesome-claude-code
📖 Readme: https://github.com/hesreallyhim/awesome-claude-code#readme
📊 Statistics:
🌟 Stars: 11.2K stars
👀 Watchers: 96
🍴 Forks: 606 forks
💻 Programming Languages: Python - Makefile - Shell
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40 403
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📝 Description: Open Source HR and Payroll Software
🔗 Repository URL: https://github.com/frappe/hrms
🌐 Website: https://frappe.io/hr
📖 Readme: https://github.com/frappe/hrms#readme
📊 Statistics:
🌟 Stars: 6.3K stars
👀 Watchers: 52
🍴 Forks: 1.6K forks
💻 Programming Languages: Python - JavaScript - Vue - HTML - SCSS - CSS
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40 403
🔥 Trending Repository: open_deep_research
📝 Description: No description available
🔗 Repository URL: https://github.com/langchain-ai/open_deep_research
📖 Readme: https://github.com/langchain-ai/open_deep_research#readme
📊 Statistics:
🌟 Stars: 8K stars
👀 Watchers: 55
🍴 Forks: 1.1K forks
💻 Programming Languages: Python - Jupyter Notebook
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==================================
🧠 By: https://t.me/DataScienceM
40 403
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📝 Description: A high-performance algorithmic trading platform and event-driven backtester
🔗 Repository URL: https://github.com/nautechsystems/nautilus_trader
🌐 Website: https://nautilustrader.io
📖 Readme: https://github.com/nautechsystems/nautilus_trader#readme
📊 Statistics:
🌟 Stars: 14.1K stars
👀 Watchers: 148
🍴 Forks: 1.5K forks
💻 Programming Languages: Rust - Python - Cython - C - Shell - Makefile
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#python #rust #machine_learning #trading #forex #artificial_intelligence #trading_platform #algorithmic_trading_engine #sports_betting #options_trading #crypto_trading #equity_trading #futures_trading================================== 🧠 By: https://t.me/DataScienceM
40 403
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🔗 Repository URL: https://github.com/musistudio/claude-code-router
📖 Readme: https://github.com/musistudio/claude-code-router#readme
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==================================
🧠 By: https://t.me/DataScienceM
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📝 Description: We write your reusable computer vision tools. 💜
🔗 Repository URL: https://github.com/roboflow/supervision
🌐 Website: https://supervision.roboflow.com
📖 Readme: https://github.com/roboflow/supervision#readme
📊 Statistics:
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🍴 Forks: 2.7K forks
💻 Programming Languages: Python
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40 403
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📝 Description: Free, local, open-source AI app builder ✨ v0 / lovable / Bolt alternative 🌟 Star if you like it!
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🌐 Website: https://dyad.sh
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40 403
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📝 Description: Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.
🔗 Repository URL: https://github.com/srbhr/Resume-Matcher
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📖 Readme: https://github.com/srbhr/Resume-Matcher#readme
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💻 Programming Languages: Python - TypeScript - PowerShell - Shell - CSS - Makefile - JavaScript
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40 403
Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
40 403
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📝 Description: Modern Backend Framework that unifies APIs, background jobs, workflows, and AI agents into a single cohesive system with built-in observability and state management.
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🌐 Website: https://motia.dev
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🔗 Repository URL: https://github.com/clash-verge-rev/clash-verge-rev
🌐 Website: https://www.clashverge.dev
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40 403
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🔗 Repository URL: https://github.com/OpenBB-finance/OpenBB
🌐 Website: https://openbb.co
📖 Readme: https://github.com/OpenBB-finance/OpenBB#readme
📊 Statistics:
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🍴 Forks: 4.6K forks
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40 403
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🔗 Repository URL: https://github.com/colmap/colmap
🌐 Website: https://colmap.github.io/
📖 Readme: https://github.com/colmap/colmap#readme
📊 Statistics:
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🍴 Forks: 1.7K forks
💻 Programming Languages: C++ - Python - C - CMake - Cuda - Shell
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#computer_vision #geometry #structure_from_motion #reconstruction #multi_view_stereo================================== 🧠 By: https://t.me/DataScienceM
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📝 Description: Cybersecurity AI (CAI), an open Bug Bounty-ready Artificial Intelligence
🔗 Repository URL: https://github.com/aliasrobotics/cai
🌐 Website: https://aliasrobotics.github.io/cai/
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