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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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Сеть:Machine Learning with Python Индия4 584 Образование2 398...

📈 Аналитический обзор Telegram-канала Machine Learning with Python

Канал Machine Learning with Python (@codeprogrammer) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 68 497 подписчиков, занимая 2 398 место в категории Образование и 4 584 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 68 497 подписчиков.

Согласно последним данным от 30 октября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 44, а за последние 24 часа — -15, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.96%. В первые 24 часа после публикации контент обычно набирает 1.47% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 2 712 просмотров. В течение первых суток публикация набирает 1 004 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 9.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как insidead, learning, degree, evaluation, algorithm.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Благодаря высокой частоте обновлений (последние данные получены 31 октября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

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68 497

Подписчики

-1524 часа

-1027 дней

+4430 дней

2 712

Просмотры поста

~ 1 00424 часа

~ 1 36048 часов

3.96%

Коэффициент вовлеченности

~ 1

Постов в день

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Архив постов

68 491

🤖🧠 Unleashing the Power of AI with Open Agent Builder: A Visual Workflow Tool for AI Agents 🗓️ 19 Oct 2025 📚 AI News & Trends In today’s rapidly advancing technological landscape, artificial intelligence (AI) is not just a buzzword, it’s a transformative force across industries. From automating complex tasks to streamlining operations, AI is revolutionizing workflows. However, designing and deploying AI-driven workflows has traditionally required expert-level programming knowledge. Enter Open Agent Builder, a revolutionary tool that democratizes the creation of ... #AI #ArtificialIntelligence #OpenAgentBuilder #AIAgents #VisualWorkflow #TechInnovation

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🤖🧠 Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity 🗓️ 18 Oct 2025 📚 AI News & Trends Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ... #Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel

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Question: What are Python set comprehensions? Answer:Set comprehensions are similar to list comprehensions but create a set instead of a list. The syntax is:

{expression for item in iterable if condition}

For example, to create a set of squares of even numbers:

squares_set = {x**2 for x in range(10) if x % 2 == 0}

This will create a set with the values

{0, 4, 16, 36, 64}

https://t.me/DataScienceQ 🌟

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🤖🧠 Agentic Entropy-Balanced Policy Optimization (AEPO): Balancing Exploration and Stability in Reinforcement Learning for Web Agents 🗓️ 17 Oct 2025 📚 AI News & Trends AEPO (Agentic Entropy-Balanced Policy Optimization) represents a major advancement in the evolution of Agentic Reinforcement Learning (RL). As large language models (LLMs) increasingly act as autonomous web agents – searching, reasoning and interacting with tools – the need for balanced exploration and stability has become crucial. Traditional RL methods often rely heavily on entropy to ... #AgenticRL #ReinforcementLearning #LLMs #WebAgents #EntropyBalanced #PolicyOptimization

68 491

🤖🧠 NVIDIA, MIT, HKU and Tsinghua University Introduce QeRL: A Powerful Quantum Leap in Reinforcement Learning for LLMs 🗓️ 17 Oct 2025 📚 AI News & Trends The rise of large language models (LLMs) has redefined artificial intelligence powering everything from conversational AI to autonomous reasoning systems. However, training these models especially through reinforcement learning (RL) is computationally expensive requiring massive GPU resources and long training cycles. To address this, a team of researchers from NVIDIA, Massachusetts Institute of Technology (MIT), The ... #QuantumLearning #ReinforcementLearning #LLMs #NVIDIA #MIT #TsinghuaUniversity

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Contribute with us to expand the services offered in our channel We plan to use an advanced AI model to add more information about the most prominent events, models, and articles released and provide explanations. This requires preparing an infrastructure for our server and purchasing an API for an AI model. Contribute to the development of our community with us Contact me @husseinsheikho

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🤖🧠 MinerU2.5 by Shanghai AI Lab, Peking University & Shanghai Jiao Tong University Sets New Standard for AI-Powered Document Parsing 🗓️ 15 Oct 2025 📚 AI News & Trends In the world of digital transformation, the ability to accurately extract and interpret information from complex documents is becoming increasingly essential. Whether for academic research, financial analysis or enterprise automation, document parsing – the process of converting structured and unstructured document data into machine-readable formats plays a vital role. Enter MinerU2.5, a groundbreaking vision-language model ...

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🔗 Keras vs. TensorFlow vs. PyTorch: The ultimate showdown for deep learning supremacy! 🚀 🤔 Keras: The user-friendly champion! Perfect for beginners and rapid prototyping. ⚡️ TensorFlow: The powerhouse! Great for complex projects with extensive capabilities. 🔥 PyTorch: The flexible innovator! With its dynamic computation graph, it’s a favorite among researchers.

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🌟 Join @DeepLearning_ai & @MachineLearning_Programming! 🌟 Explore AI, ML, Data Science, and Computer Vision with us. 🚀 💡 Stay Updated: Latest trends & tutorials. 🌐 Grow Your Network: Engage with experts. 📈 Boost Your Career: Unlock tech mastery. Subscribe Now! ➡️ @DeepLearning_ai ➡️ @MachineLearning_Programming Step into the future—today! ✨

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Repost from Machine Learning with Python

☄️ Top 12 YouTube Channels to Learn Python 💐 Python will include 57% of data scientist job ads in 2024 . It is still the number one programming language for data scientists. ✅ Now, if you are looking for the best resources to improve your Python skills, after searching and reviewing various resources, I have prepared a list of 12 top channels that provide first-class Python training, which can turn beginners into professional Python programmers. convert 🎬 Python Programmer channel ┤ 📈 211 videos / 465K SUB ┘ 🔴 Link: Python Programmer 🎬 Luke Barousse channel ┤ 📈 157 videos / 429K SUB ┘ 🔴 Link: Luke Barousse 🎬 codebasics channel ┤ 📈 837 videos / 990K SUB ┘ 🔴 link: codebasics 🎬 StatQuest channel with Josh Starmer ┤ 📈 271 videos / 1.14M SUB ┘ 🔴 Link: StatQuest with Josh Starmer 🎬 Sundas Khalid channel ┤ 📈 143 videos / 203K SUB ┘ 🔴 Link: Sundas Khalid 🎬 Shashank Kalanithi channel ┤ 📈 152 videos / 148K SUB ┘ 🔴 Link: Shashank Kalanithi 🎬 Programming with Mosh channel ┤ 📈 203 videos / 3.85M SUB ┘ 🔴 Link: Programming with Mosh 🎬 Corey Schafer channel ┤ 📈 233 videos / 129K SUB ┘ 🔴 Link: Corey Schafer 🎬 sentdex channel ┤ 📈 1254 videos / 1.3M SUB ┘ 🔴 link: sentdex 🎬 Patrick Loeber channel ┤ 📈 206 videos / 264K SUB ┘ 🔴 Link: Patrick Loeber 🎬 Socratica channel ┤ 📈 659 videos / 876K SUB ┘ 🔴 Link: Socratica 🎬 Tech With Tim channel ┤ 📈 983 videos / 1.48M SUB ┘ 🔴 Link: Tech With Tim 😠 More likes 😠 ➡️ more posts ✈️ http://t.me/codeprogrammer ✅

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Question: What is type hinting in Python, and how does it enhance code quality? Answer: 👉