Machine Learning with Python

Ir al canal en Telegram

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

Red:Machine Learning with Python India5 035 Educación2 411...

📈 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 67 813 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 67 813 suscriptores.

Según los últimos datos del 07 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 2.62%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.56% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 1 776 visualizaciones. En el primer día suele acumular 1 734 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 7.
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.

67 813

Suscriptores

-224 horas

+327 días

+5530 días

1 776

Visitas de la publicación

~ 1 73424 horas

~ 2 31448 horas

2.62%

Tasa de compromiso

~ 4

Mensajes por día

Ads index

beta

Archivo de publicaciones

67 810

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

67 810

🤖🧠 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 ...

67 810

Your free participation in the advertising campaign visits pushes us to publish more valuable books

67 810

Ready to turn gold analysis into real profits? Catch daily accurate signals and smart market breakdowns from a top mentor—each trade idea crafted with precision and results to match. Missed your last TP? Don’t worry, your next winning signal is right here. Maximize every pip—join JAMIL FX TRADING MASTER and trade smarter! #ad InsideAds .

67 810

🔗 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.

67 810

🌟 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! ✨

67 810

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 ✅

67 810

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

67 810

🤖🧠 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

67 810

🤖🧠 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

67 810

🤖🧠 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

67 810

🤖🧠 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

67 810

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.

67 810

🤖🧠 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

67 810

🤖🧠 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

67 810

🔰 Email automation using Python

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

67 810

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