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Machine Learning with Python

Machine Learning with Python

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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 Análisis del canal de Telegram Machine Learning with Python

El canal Machine Learning with Python (@codeprogrammer) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 67 820 suscriptores, ocupando la posición 2 411 en la categoría Educación y el puesto 5 035 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 820 suscriptores.

Según los últimos datos del 06 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 55, y en las últimas 24 horas de -2, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.54%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.53% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 720 visualizaciones. En el primer día suele acumular 1 714 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 6.
  • Intereses temáticos: El contenido se centra en temas clave como insidead, learning, degree, evaluation, algorithm.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 08 junio, 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 Educación.

67 820
Suscriptores
-224 horas
+327 días
+5530 días
Archivo de publicaciones
🤖🧠 Plandex AI: The Future of Autonomous Coding Agents for Large-Scale Development 🗓️ 11 Nov 2025 📚 AI News & Trends As so
🤖🧠 Plandex AI: The Future of Autonomous Coding Agents for Large-Scale Development 🗓️ 11 Nov 2025 📚 AI News & Trends As software development becomes increasingly complex, developers are turning to AI tools that can manage, understand and automate large portions of the coding workflow. Among the most promising innovations in this space is Plandex AI, an open-source terminal-based coding agent designed for real-world, large-scale projects. Unlike simple AI coding assistants that handle small snippets, Plandex ... #PlandexAI #AutonomousCoding #LargeScaleDevelopment #AICoding #OpenSourceAI #CodeAutomation

🤖🧠 vLLM Semantic Router: The Next Frontier in Intelligent Model Routing for LLMs 🗓️ 11 Nov 2025 📚 AI News & Trends As lar
🤖🧠 vLLM Semantic Router: The Next Frontier in Intelligent Model Routing for LLMs 🗓️ 11 Nov 2025 📚 AI News & Trends As large language models (LLMs) continue to evolve, organizations face new challenges in optimizing performance, accuracy and cost across various AI workloads. Running multiple models efficiently – each specialized for specific tasks has become essential for scalable AI deployment. Enter vLLM Semantic Router, an open-source innovation that introduces a new layer of intelligence to the ... #vLLMSemanticRouter #LargeLanguageModels #AIScaling #ModelRouting #OpenSourceAI #LLMOptimization

🤖🧠 BERT: Revolutionizing Natural Language Processing with Bidirectional Transformers 🗓️ 11 Nov 2025 📚 AI News & Trends In
🤖🧠 BERT: Revolutionizing Natural Language Processing with Bidirectional Transformers 🗓️ 11 Nov 2025 📚 AI News & Trends In the ever-evolving landscape of artificial intelligence and natural language processing (NLP), BERT (Bidirectional Encoder Representations from Transformers) stands as a monumental breakthrough. Developed by researchers at Google AI in 2018, BERT introduced a new way of understanding the context of language by using deep bidirectional training of the Transformer architecture. Unlike previous models that ... #BERT #NaturalLanguageProcessing #TransformerArchitecture #BidirectionalLearning #DeepLearning #AIStrategy

🤖🧠 The Transformer Architecture: How Attention Revolutionized Deep Learning 🗓️ 11 Nov 2025 📚 AI News & Trends The field o
🤖🧠 The Transformer Architecture: How Attention Revolutionized Deep Learning 🗓️ 11 Nov 2025 📚 AI News & Trends The field of artificial intelligence has witnessed a remarkable evolution and at the heart of this transformation lies the Transformer architecture. Introduced by Vaswani et al. in 2017, the paper “Attention Is All You Need” redefined the foundations of natural language processing (NLP) and sequence modeling. Unlike its predecessors – recurrent and convolutional neural networks, ... #TransformerArchitecture #AttentionMechanism #DeepLearning #NaturalLanguageProcessing #NLP #AIResearch

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🏆 Python NumPy Tips 📢 Unlock the power of NumPy! Get essential Python tips for creating and manipulating arrays effectively for data analysis and scientific computing. ⚡ Tap to unlock the complete answer and gain instant insight. ━━━━━━━━━━━━━━━ By: @CodeProgrammer

🏆 100 NumPy Tips 📢 Boost your Python data science skills! Dive into 100 essential NumPy tips for efficient array manipulation and scientific computing. ⚡ Tap to unlock the complete answer and gain instant insight. ━━━━━━━━━━━━━━━ By: @CodeProgrammer

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🤖🧠 Concerto: How Joint 2D-3D Self-Supervised Learning Is Redefining Spatial Intelligence 🗓️ 09 Nov 2025 📚 AI News & Trend
🤖🧠 Concerto: How Joint 2D-3D Self-Supervised Learning Is Redefining Spatial Intelligence 🗓️ 09 Nov 2025 📚 AI News & Trends The world of artificial intelligence is rapidly evolving and self-supervised learning has become a driving force behind breakthroughs in computer vision and 3D scene understanding. Traditional supervised learning relies heavily on labeled datasets which are expensive and time-consuming to produce. Self-supervised learning, on the other hand, extracts meaningful patterns without manual labels allowing models to ... #SelfSupervisedLearning #ComputerVision #3DSceneUnderstanding #SpatialIntelligence #AIResearch #DeepLearning

🤖🧠 Pico-Banana-400K: The Breakthrough Dataset Advancing Text-Guided Image Editing 🗓️ 09 Nov 2025 📚 AI News & Trends Text-
🤖🧠 Pico-Banana-400K: The Breakthrough Dataset Advancing Text-Guided Image Editing 🗓️ 09 Nov 2025 📚 AI News & Trends Text-guided image editing has rapidly evolved with powerful multimodal models capable of transforming images using simple natural-language instructions. These models can change object colors, modify lighting, add accessories, adjust backgrounds or even convert real photographs into artistic styles. However, the progress of research has been limited by one crucial bottleneck: the lack of large-scale, high-quality, ... #TextGuidedEditing #MultimodalAI #ImageEditing #AIResearch #ComputerVision #DeepLearning

🤖🧠 PokeeResearch: Advancing Deep Research with AI and Web-Integrated Intelligence 🗓️ 09 Nov 2025 📚 AI News & Trends In th
🤖🧠 PokeeResearch: Advancing Deep Research with AI and Web-Integrated Intelligence 🗓️ 09 Nov 2025 📚 AI News & Trends In the modern information era, the ability to research fast, accurately and at scale has become a competitive advantage for businesses, researchers, analysts and developers. As online data expands exponentially, traditional search engines and manual research workflows are no longer sufficient to gather reliable insights efficiently. This need has fueled the rise of AI research ... #AIResearch #DeepResearch #WebIntelligence #ArtificialIntelligence #ResearchAutomation #DataAnalysis

🤖🧠 DeepAgent: A New Era of General AI Reasoning and Scalable Tool-Use Intelligence 🗓️ 09 Nov 2025 📚 AI News & Trends Arti
🤖🧠 DeepAgent: A New Era of General AI Reasoning and Scalable Tool-Use Intelligence 🗓️ 09 Nov 2025 📚 AI News & Trends Artificial intelligence has rapidly progressed from simple assistants to advanced reasoning systems capable of complex problem-solving. As tasks demand more autonomy, adaptability and real-world interaction, the AI field has entered the era of intelligent agent systems. These agents are expected not just to answer questions, but to think, plan, search, act and interact across digital ... #GeneralAI #ArtificialIntelligence #AIReasoning #IntelligentAgents #ScalableAI #ToolUseAI

Python_tasks_solutions.pdf23.76 MB

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python-interview-questions.pdf1.20 MB

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