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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Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 67 813 obunachidan iborat bo'lib, Taʼlim toifasida 2 411-o'rinni va Hindiston mintaqasida 5 035-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 67 813 obunachiga ega bo‘ldi.

07 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 55 ga, so‘nggi 24 soatda esa -2 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 2.62% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.56% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 1 776 marta ko‘riladi; birinchi sutkada odatda 1 734 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 7 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent insidead, learning, degree, evaluation, algorithm kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 08 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

67 813

Obunachilar

-224 soatlar

+327 kunlar

+5530 kunlar

1 776

Post ko'rishlar

~ 1 73424 soatlar

~ 2 31448 soatlar

2.62%

Muloqot nisbati

~ 4

Kuniga postlar

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Postlar arxiv

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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: 👉

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🤖🧠 Diffusion Transformers with Representation Autoencoders (RAE): The Next Leap in Generative AI 🗓️ 14 Oct 2025 📚 AI News & Trends Diffusion Transformers (DiTs) have revolutionized image and video generation enabling stunningly realistic outputs in systems like Stable Diffusion and Imagen. However, despite innovations in transformer architectures and training methods, one crucial element of the diffusion pipeline has remained largely stagnant- the autoencoder that defines the latent space. Most current diffusion models still depend on Variational ... #DiffusionTransformers #RAE #GenerativeAI #StableDiffusion #Imagen #LatentSpace

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🤖🧠 LLaMAX2 by Nanjing University, HKU, CMU & Shanghai AI Lab: A Breakthrough in Translation-Enhanced Reasoning Models 🗓️ 14 Oct 2025 📚 AI News & Trends The world of large language models (LLMs) has evolved rapidly, producing advanced systems capable of reasoning, problem-solving, and creative text generation. However, a persistent challenge has been balancing translation quality with reasoning ability. Most translation-enhanced models excel in linguistic diversity but falter in logical reasoning or coding tasks. Addressing this crucial gap, the research paper ... #LLaMAX2 #TranslationEnhanced #ReasoningModels #LargeLanguageModels #NanjingUniversity #HKU

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🤖🧠 Granite-Speech-3.3-8B: IBM’s Next-Gen Speech-Language Model for Enterprise AI 🗓️ 14 Oct 2025 📚 AI News & Trends In the fast-growing field of speech and language AI, IBM continues to make strides with its Granite model family , a suite of open enterprise-grade AI models that combine accuracy, safety and efficiency. The latest addition to this ecosystem, Granite-Speech-3.3-8B marks a significant milestone in automatic speech recognition (ASR) and speech translation (AST) technology. Released ... #SpeechAI #LanguageModel #EnterpriseAI #ASR #SpeechTranslation #GraniteModel

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🤖🧠 Thinking with Camera 2.0: A Powerful Multimodal Model for Camera-Centric Understanding and Generation 🗓️ 14 Oct 2025 📚 AI News & Trends In the rapidly evolving field of multimodal AI, bridging gaps between vision, language and geometry is one of the frontier challenges. Traditional vision-language models excel at describing what is in an image “a cat on a sofa” “a red car on the road” but struggle to reason about how the image was captured: the camera’s ... #MultimodalAI #CameraCentricUnderstanding #VisionLanguageModels #AIResearch #ComputerVision #GenerativeModels

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Repost from Machine Learning

📌 Mastering Object Counting in Videos 🗂 Category: 🕒 Date: 2024-06-25 | ⏱️ Read time: 8 min read Step-by-step guide to counting strolling ants on a tree using detection and tracking techniques.

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🤖🧠 Jio AI Classroom: Learn Artificial Intelligence for Free with Jio Institute & JioPC App 🗓️ 13 Oct 2025 📚 AI News & Trends Artificial Intelligence (AI) is redefining industries across the globe from healthcare to education, finance and beyond. But for millions of learners in India, access to high-quality AI education has often been limited by cost and technical barriers. Bridging this gap, Jio Institute in collaboration with JioPC App has launched a unique free online AI learning ... #JioAIClassroom #ArtificialIntelligence #FreeAIEducation #JioInstitute #JioPCApp #AILearning

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🤖🧠 Ultimate OpenTSLM: Stanford’s Open-Source Framework Bridging LLMs and Medical Time-Series Data 🗓️ 13 Oct 2025 📚 AI News & Trends In recent years, artificial intelligence (AI) has made remarkable strides in transforming healthcare. From medical imaging to patient monitoring systems, AI-driven solutions are reshaping how clinicians diagnose, treat and manage diseases. One of the most promising developments in this space is the integration of large language models (LLMs) with time-series data, a combination that holds ... #OpenTSLM #LLMs #MedicalAI #TimeSeriesData #ArtificialIntelligence #OpenSourceFramework

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🔰 Email automation using Python

Why type emails when Python can do it for you? Work smarter, not harder... unless you’re debugging. 😅💻

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Repost from Github Top Repositories

🔥 Trending Repository: Prompt-Engineering-Guide 📝 Description: 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering 🔗 Repository URL: https://github.com/dair-ai/Prompt-Engineering-Guide 🌐 Website: https://www.promptingguide.ai/ 📖 Readme: https://github.com/dair-ai/Prompt-Engineering-Guide#readme 📊 Statistics: 🌟 Stars: 63K stars 👀 Watchers: 668 🍴 Forks: 6.6K forks 💻 Programming Languages: MDX - Jupyter Notebook 🏷️ Related Topics:

#deep_learning #openai #language_model #prompt_engineering #generative_ai #chatgpt

================================== 🧠 By: https://t.me/DataScienceM