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Data Analytics

Data Analytics

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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 PythonRed:Machine Learning with PythonRusia21 510Tecnologías y Aplicaciones4 338

📈 Análisis del canal de Telegram Data Analytics

El canal Data Analytics (@dataanalyticsx) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 29 909 suscriptores, ocupando la posición 4 338 en la categoría Tecnologías y Aplicaciones y el puesto 21 510 en la región Rusia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 29 909 suscriptores.

Según los últimos datos del 31 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 252, y en las últimas 24 horas de 18, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.12%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.77% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 531 visualizaciones. En el primer día suele acumular 528 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
  • Intereses temáticos: El contenido se centra en temas clave como sellerflash, buybox, buyer, chaos, effortless.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 01 septiembre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

29 909
Suscriptores
+1824 horas
+547 días
+25230 días
Archivo de publicaciones
Data Analytics
Data Analytics
29 909
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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