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Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho

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Machine Learning with PythonСітка:Machine Learning with PythonРосія21 626Технології та додатки4 362

📈 Аналітичний огляд Telegram-каналу Data Analytics

Канал Data Analytics (@dataanalyticsx) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 29 912 підписників, посідаючи 4 362 місце в категорії Технології та додатки та 21 626 місце у регіоні Росія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 29 912 підписників.

За останніми даними від 01 вересня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 243, а за останні 24 години на 7, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 5.40%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.75% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 1 616 переглядів. Протягом першої доби публікація в середньому набирає 524 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 2.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як sellerflash, buybox, buyer, chaos, effortless.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho”

Завдяки високій частоті оновлень (останні дані отримано 02 вересня, 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.

29 912
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+24330 днів
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Data Analytics
Data Analytics
29 912
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Repost from Machine Learning with Python
10 GitHub repositories that are worth checking out for an AI engineer 🤖 1. Hands-On AI Engineering 🛠️ A collection of AI ap
10 GitHub repositories that are worth checking out for an AI engineer 🤖 1. Hands-On AI Engineering 🛠️ A collection of AI applications and agent systems with practical use cases of LLM. 👉 https://github.com/Sumanth077/Hands-On-AI-Engineering 2. Hands-On Large Language Models 📘 Full code from the book Hands-On Large Language Models: from basics to fine-tuning. 👉 https://github.com/HandsOnLLM/Hands-On-Large-Language-Models 3. AI Agents for Beginners 🎓 A free course from Microsoft with 11 lessons on creating AI agents. 👉 https://github.com/microsoft/ai-agents-for-beginners 4. GenAI Agents 🤖 A large collection of tutorials and implementations of agent systems. 👉 https://github.com/NirDiamant/GenAI_Agents 5. Made With ML 🚀 About the development, deployment, and support of production-ready ML systems. 👉 https://github.com/GokuMohandas/Made-With-ML 6. Learn Harness Engineering ⚙️ A practical course on Harness Engineering for AI agents. 👉 https://github.com/walkinglabs/learn-harness-engineering 7. AutoResearch 🔬 Autonomous cycles of ML experiments from Andrej Karpathy. 👉 https://github.com/karpathy/autoresearch 8. Designing Machine Learning Systems 📚 Notes and materials from Chip Huyen's book. 👉 https://github.com/chiphuyen/dmls-book 9. Awesome LLM Inference ⚡ A collection of materials on LLM inference: Flash Attention, KV Cache, quantization, and more. 👉 https://github.com/xlite-dev/Awesome-LLM-Inference 10. LLM Course 🗺️ A practical course on LLM with a roadmap and Colab notebooks. 👉 https://github.com/mlabonne/llm-course #AI #MachineLearning #LLM #DataScience #Tech #GitHub ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

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A large collection of materials on LLM Systems, • model training (pre-training, RLHF, fault tolerance, stragglers) • inference and serving • agent systems • edge deployment • multimodal models • technical reports from major laboratories • reviews, benchmarks, and leaderboards • courses on MLSys and collections of articles from conferences https://github.com/AmberLJC/LLMSys-PaperList #LLMSys #LLM #MachineLearning #AIResearch #DeepLearning #TechReports ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

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Google has published a free guide on scaling AI models and working with GPUs. 🚀 📘 How to Scale Your Model https://jax-ml.github.io/scaling-book/ 📘 How to Think About GPUs https://jax-ml.github.io/scaling-book/gpus/ The materials discuss the principles of model scaling, the structure of GPUs, computational limitations, memory bandwidth, parallelism, and other topics that are useful when training and running modern AI models. 💡 It's completely free and available online. 🌐 #AI #MachineLearning #GPU #Scaling #DeepLearning #Tech ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

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Repost from Machine Learning with Python
I often see people say that it's impossible to enter the IT field without expensive courses. However, there's a huge amount of high-quality materials available for free: 📚 Computer Science https://github.com/ossu/computer-science 📚 Data Structures & Algorithms https://github.com/jwasham/coding-interview-university 📚 System Design https://github.com/donnemartin/system-design-primer 📚 Web Development https://github.com/TheOdinProject/curriculum 📚 Frontend / Backend / DevOps / Cloud https://github.com/kamranahmedse/developer-roadmap 📚 Data Engineering https://github.com/DataTalksClub/data-engineering-zoomcamp 📚 Machine Learning & AI https://github.com/microsoft/ML-For-Beginners 📚 MLOps https://github.com/DataTalksClub/mlops-zoomcamp 📚 Cybersecurity https://github.com/OWASP/CheatSheetSeries 📚 Linux https://github.com/trimstray/the-book-of-secret-knowledge 📚 Free Programming Books https://github.com/EbookFoundation/free-programming-books If you have internet and a bit of free time, you can learn computer science, algorithms, system design, DevOps, clouds, security, and machine learning for free. The problem now isn't a lack of information. The problem is regularly opening these repositories and actually working on them. #FreeLearning #ITCareer #CodingResources #TechEducation #OpenSource #DevCommunity ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO