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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Red:📈 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 68 128 suscriptores, ocupando la posición 2 370 en la categoría Educación y el puesto 4 740 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 68 128 suscriptores.
Según los últimos datos del 29 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 67, y en las últimas 24 horas de 13, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.98%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.55% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 714 visualizaciones. En el primer día suele acumular 1 053 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 30 agosto, 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.
68 128
Suscriptores
+1324 horas
-567 días
+6730 días
Archivo de publicaciones
Repost from Github Top Repositories
🔥 Trending Repository: best-of-ml-python
📝 Description: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔗 Repository URL: https://github.com/lukasmasuch/best-of-ml-python
🌐 Website: https://ml-python.best-of.org
📖 Readme: https://github.com/lukasmasuch/best-of-ml-python#readme
📊 Statistics:
🌟 Stars: 22.3K stars
👀 Watchers: 444
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💻 Programming Languages: Not available
🏷️ Related Topics:
#python #nlp #data_science #machine_learning #deep_learning #tensorflow #scikit_learn #keras #ml #data_visualization #pytorch #transformer #data_analysis #gpt #automl #jax #data_visualizations #gpt_3 #chatgpt================================== 🧠 By: https://t.me/DataScienceM
Repost from Github Top Repositories
🔥 Trending Repository: awesome-system-design-resources
📝 Description: Learn System Design concepts and prepare for interviews using free resources.
🔗 Repository URL: https://github.com/ashishps1/awesome-system-design-resources
🌐 Website: https://blog.algomaster.io
📖 Readme: https://github.com/ashishps1/awesome-system-design-resources#readme
📊 Statistics:
🌟 Stars: 26.9K stars
👀 Watchers: 361
🍴 Forks: 6.3K forks
💻 Programming Languages: Java - Python
🏷️ Related Topics:
#computer_science #distributed_systems #awesome #backend #scalability #interview #interview_questions #system_design #hld #high_level_design================================== 🧠 By: https://t.me/DataScienceM
Repost from Learn Python Coding
In Python, you can unpack sequences using *, to work with a variable number of elements. The * can be placed anywhere and it will collect all the extra elements into a separate variable.
a, b, c = 10, 2, 3 # Standard unpacking
a, *b = 10, 2, 3 # b = [2, 3]
a, *b, c = 10, 2, 3, 4 # b = [2, 3]
*a, b, c = 10, 2, 3, 4 # a = [10, 2]
🤖🧠 LangChain: The Ultimate Framework for Building Reliable AI Agents and LLM Applications
🗓️ 24 Oct 2025
📚 AI News & Trends
As artificial intelligence continues to transform industries, developers are racing to build smarter, more adaptive applications powered by Large Language Models (LLMs). Yet, one major challenge remains how to make these models interact intelligently with real-world data and external systems in a scalable, reliable way. Enter LangChain, an open-source framework designed to make LLM-powered application ...
#LangChain #AI #LLM #ArtificialIntelligence #OpenSource #AIAgents
Repost from Learn Python Coding
✨ Topic: Flask Tutorials ✨
📖 Explore Flask, a popular Python web framework, through these tutorials. Learn key aspects of Flask development. With this knowledge, you'll be able to create robust and scalable web applications using Flask.
🏷️ #26_resources
🤖🧠 Master Machine Learning: Explore the Ultimate “Machine-Learning-Tutorials” Repository
🗓️ 23 Oct 2025
📚 AI News & Trends
In today’s data-driven world, Machine Learning (ML) has become the cornerstone of modern technology from intelligent chatbots to predictive analytics and recommendation systems. However, mastering ML isn’t just about coding, it requires a structured understanding of algorithms, statistics, optimization techniques and real-world problem-solving. That’s where Ujjwal Karn’s Machine-Learning-Tutorials GitHub repository stands out. This open-source, topic-wise ...
#MachineLearning #MLTutorials #ArtificialIntelligence #DataScience #OpenSource #AIEducation
🤖🧠 LangGraph by LangChain-AI: The Framework Powering Stateful, Long-Running AI Agents
🗓️ 23 Oct 2025
📚 AI News & Trends
As artificial intelligence continues to reshape industries, one major challenge remains building reliable, stateful and long-running AI agents that can handle complex workflows over time. Traditional AI frameworks often focus on short interactions, lacking the infrastructure to manage persistent states, durable memory or human feedback loops. That’s where LangGraph from LangChain-AI steps in. Trusted by ...
#LangGraph #LangChainAI #AIAgents #StatefulAI #LongRunningAgents #ArtificialIntelligence
🐍 PyTorch for Beginners: All the Basics on Tensors in One Place
A collection of basic techniques for working with tensors in PyTorch — for those who are starting to get acquainted with the framework and want to quickly master its fundamentals.
What's inside:
▶️ What tensors are and why they are needed ▶️ Tensor initialization: zeros, ones, random, similar size ▶️ Type conversion and switching between NumPy and PyTorch ▶️ Arithmetic, logical operations, tensor comparison ▶️ Matrix multiplication and batch computations ▶️ Broadcasting, view(), reshape(), changing dimensions ▶️ Indexing and slicing: how to access parts of a tensor ▶️ Notebook with code examplesA good starting material to understand the mechanics of tensors before moving on to models and training. ⛓ GitHub link tags: #useful ➡ @codeprogrammer
🤖🧠 OpenSearch for AI Agents: Empowering Intelligent Search and Automation
🗓️ 22 Oct 2025
📚 AI News & Trends
As artificial intelligence (AI) continues to evolve, one of the most transformative shifts has been the rise of AI agents – autonomous systems capable of reasoning, interacting, and performing complex tasks. From customer support chatbots to autonomous data analysts, these agents rely heavily on efficient data retrieval mechanisms. However, traditional search systems often struggle to ...
#OpenSearch #AIAgents #IntelligentSearch #AIautomation #ArtificialIntelligence #DataRetrieval
🤖🧠 AgentFly: The Future of Reinforcement Learning for Intelligent Language Model Agents
🗓️ 22 Oct 2025
📚 AI News & Trends
AgentFly is a cutting-edge framework developed by researchers at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) to revolutionize how large language models (LLMs) learn and act. It combines the power of reinforcement learning (RL) with language model agents enabling them to go beyond static prompt responses and learn through real-time feedback and experience. ...
#ReinforcementLearning #LLMs #LanguageModelAgents #ArtificialIntelligence #AgentFly #AIFramework
🤖🧠 Unlocking Creativity with Awesome ChatGPT Prompts: The Ultimate Guide for AI Enthusiasts
🗓️ 22 Oct 2025
📚 AI News & Trends
Artificial Intelligence has transformed how we create, communicate, and innovate and at the heart of this revolution lies prompt engineering. One of the most powerful tools in this domain is the “Awesome ChatGPT Prompts” repository – a growing collection of creative, technical and professional prompts designed for ChatGPT and other large language models like Claude, ...
#ChatGPT #PromptEngineering #AIEnthusiasts #ArtificialIntelligence #LargeLanguageModels #AICreativity
Repost from Machine Learning
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🤖🧠 LandingAI ADE Python SDK: Streamlining AI-Powered Document Understanding
🗓️ 22 Oct 2025
📚 AI News & Trends
In the age of AI automation, extracting structured data from documents has become a key part of many business workflows. From invoices and contracts to identity documents and research papers, organizations are relying on AI models to interpret and process information accurately. LandingAI’s ADE Python SDK – an official API client for the LandingAI ADE ...
#AIPowered #DocumentUnderstanding #LandingAI #ADEPythonSDK #AIAutomation #DataExtraction
🤖🧠 The Ultimate #1 Collection of AI Books In Awesome-AI-Books Repository
🗓️ 22 Oct 2025
📚 AI News & Trends
Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century. From powering self-driving cars to enabling advanced conversational AI like ChatGPT, AI is redefining how humans interact with machines. However, mastering AI requires a strong foundation in theory, mathematics, programming and hands-on experimentation. For enthusiasts, students and professionals seeking ...
#ArtificialIntelligence #AIBooks #MachineLearning #DeepLearning #AIResources #TechBooks
🤖🧠 Enhancing AI Agent Capabilities with Glean Agent Toolkit: A Complete Guide for Developers
🗓️ 22 Oct 2025
📚 AI News & Trends
The evolution of AI agents has transformed how businesses manage knowledge, automate workflows and deliver intelligent support. However, one major challenge remains how to effectively connect these AI agents to enterprise data and productivity tools. This is where the Glean Agent Toolkit steps in. Developed by Glean, a leader in enterprise knowledge discovery, this open-source ...
#AIAgents #GleanAgentToolkit #EnterpriseAI #ArtificialIntelligence #DeveloperTools #KnowledgeDiscovery
🤖🧠 Mastering Large Language Models: Top #1 Complete Guide to Maxime Labonne’s LLM Course
🗓️ 22 Oct 2025
📚 AI News & Trends
In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have become the foundation of modern AI innovation powering tools like ChatGPT, Claude, Gemini and countless enterprise AI applications. However, building, fine-tuning and deploying these models require deep technical understanding and hands-on expertise. To bridge this knowledge gap, Maxime Labonne, a leading AI ...
#LLM #ArtificialIntelligence #MachineLearning #DeepLearning #AIEngineering #LargeLanguageModels
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