¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
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
Mostrar más📈 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 67 809 suscriptores, ocupando la posición 2 416 en la categoría Educación y el puesto 5 038 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 809 suscriptores.
Según los últimos datos del 09 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 70, y en las últimas 24 horas de 10, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.94%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.44% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 997 visualizaciones. En el primer día suele acumular 1 652 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 10 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.
67 809
Suscriptores
+1024 horas
+127 días
+7030 días
Archivo de publicaciones
Imagine if your content could predict trends before they go viral. In 2025, smart creators leverage AI to spot what’s next, automate their workflow—and leave their competition guessing. Ready to turn chaos into a streamlined, AI-powered process? Discover real tools, no fluff, only what works—join Simply AI now and build your smart future.
#إعلان InsideAds
Want to turn every market swing into steady income? Discover how disciplined ETF investing and the Wheel Strategy make passive wealth-building simple—even when headlines scream volatility. See real trades, get weekly lessons, and level up your financial game with actionable global insights.
Secure your future—join the investors who win long-term.
#إعلان InsideAds
“Learn AI” is everywhere. But where do the builders actually start?
Here’s the real path, the courses, papers and repos that matter.
✅ Videos:
Everything here ⇒ https://lnkd.in/ePfB8_rk
➡️ LLM Introduction → https://lnkd.in/ernZFpvB
➡️ LLMs from Scratch - Stanford CS229 → https://lnkd.in/etUh6_mn
➡️ Agentic AI Overview →https://lnkd.in/ecpmzAyq
➡️ Building and Evaluating Agents → https://lnkd.in/e5KFeZGW
➡️ Building Effective Agents → https://lnkd.in/eqxvBg79
➡️ Building Agents with MCP → https://lnkd.in/eZd2ym2K
➡️ Building an Agent from Scratch → https://lnkd.in/eiZahJGn
✅ Courses:
All Courses here ⇒ https://lnkd.in/eKKs9ves
➡️ HuggingFace's Agent Course → https://lnkd.in/e7dUTYuE
➡️ MCP with Anthropic → https://lnkd.in/eMEnkCPP
➡️ Building Vector DB with Pinecone → https://lnkd.in/eP2tMGVs
➡️ Vector DB from Embeddings to Apps → https://lnkd.in/eP2tMGVs
➡️ Agent Memory → https://lnkd.in/egC8h9_Z
➡️ Building and Evaluating RAG apps → https://lnkd.in/ewy3sApa
➡️ Building Browser Agents → https://lnkd.in/ewy3sApa
➡️ LLMOps → https://lnkd.in/ex4xnE8t
➡️ Evaluating AI Agents → https://lnkd.in/eBkTNTGW
➡️ Computer Use with Anthropic → https://lnkd.in/ebHUc-ZU
➡️ Multi-Agent Use → https://lnkd.in/e4f4HtkR
➡️ Improving LLM Accuracy → https://lnkd.in/eVUXGT4M
➡️ Agent Design Patterns → https://lnkd.in/euhUq3W9
➡️ Multi Agent Systems → https://lnkd.in/evBnavk9
✅ Guides:
Access all ⇒ https://lnkd.in/e-GA-HRh
➡️ Google's Agent → https://lnkd.in/encAzwKf
➡️ Google's Agent Companion → https://lnkd.in/e3-XtYKg
➡️ Building Effective Agents by Anthropic → https://lnkd.in/egifJ_wJ
➡️ Claude Code Best practices → https://lnkd.in/eJnqfQju
➡️ OpenAI's Practical Guide to Building Agents → https://lnkd.in/e-GA-HRh
✅ Repos:
➡️ GenAI Agents → https://lnkd.in/eAscvs_i
➡️ Microsoft's AI Agents for Beginners → https://lnkd.in/d59MVgic
➡️ Prompt Engineering Guide → https://lnkd.in/ewsbFwrP
➡️ AI Agent Papers → https://lnkd.in/esMHrxJX
✅ Papers:
🟡 ReAct → https://lnkd.in/eZ-Z-WFb
🟡 Generative Agents → https://lnkd.in/eDAeSEAq
🟡 Toolformer → https://lnkd.in/e_Vcz5K9
🟡 Chain-of-Thought Prompting → https://lnkd.in/eRCT_Xwq
🟡 Tree of Thoughts → https://lnkd.in/eiadYm8S
🟡 Reflexion → https://lnkd.in/eggND2rZ
🟡 Retrieval-Augmented Generation Survey → https://lnkd.in/eARbqdYE
Access all ⇒ https://lnkd.in/e-GA-HRh
By: https://t.me/CodeProgrammer 🟡
I recommend you to join @TradingNewsIO for Global & Economic News 24/7
⚡️Stay up-to-date with real-time updates on global events.
➡️ Click Here and JOIN NOW !
#إعلان InsideAds
Top 140 PyTorch Interview Questions and Answers
This comprehensive guide covers essential PyTorch interview questions across multiple categories, with detailed explanations for each.these 140 carefully curated questions represent the most important concepts you'll encounter in #PyTorch interviews.
🧠 Part 1: https://hackmd.io/@husseinsheikho/pytorch-interview
https://t.me/CodeProgrammer
800+ Data Science Interview Questions – A Must-Have Resource for Every Aspirant
Breaking into the data science field is challenging—not because of a lack of opportunities, but because of how thoroughly you need to prepare.
This document, curated by Steve Nouri, is a goldmine of 800+ real-world interview questions covering:
-Statistics -Data Science Fundamentals -Data Analysis -Machine Learning -Deep Learning -Python & R -Model Evaluation & Optimization -Deployment Strategies …and much more!https://t.me/CodeProgrammer 🔰
No skills? No problem. Just copy-paste and GET PAID.
➡️ 22,000+ already started… YOU'RE NEXT! Click here @NPFXSignals
#إعلان InsideAds
You can get a programming job opportunity in this channel.
How to earn free crypto with zero investment? Discover exclusive airdrops, early token sales, and daily earning tips with 𝗩𝗘𝗥𝗜𝗙𝗜𝗘𝗗 𝗔𝗜𝗥𝗗𝗥𝗢𝗣𝗦 for real money opportunities! | InsideAds
Ever wondered what it feels like to taste a wine that changed history—or discover a bottle so rare, only true insiders know? At Simply Wine, every post is a passport to the art, regions, and hidden gems of the wine world. Expand your palate and impress your friends with stories behind every sip. Ready for your next adventure in wine? Uncork exclusive discoveries here.
#إعلان InsideAds
Repost from Python Courses & Resources
🚀 Become an Agentic AI Builder — Free 12‑Week Certification by Ready Tensor
Ready Tensor’s Agentic AI Developer Certification is a free, project first 12‑week program designed to help you build and deploy real-world agentic AI systems. You'll complete three portfolio-ready projects using tools like LangChain, LangGraph, and vector databases, while deploying production-ready agents with FastAPI or Streamlit.
The course focuses on developing autonomous AI agents that can plan, reason, use memory, and act safely in complex environments. Certification is earned not by watching lectures, but by building — each project is reviewed against rigorous standards.
You can start anytime, and new cohorts begin monthly. Ideal for developers and engineers ready to go beyond chat prompts and start building true agentic systems.
👉 Apply now: https://www.readytensor.ai/agentic-ai-cert/
“I used to think getting fit meant boring diets & hours in the gym. I was wrong.”
The real secret? Just 3 simple habits — and NO crazy restrictions.
Want to know what nobody tells you about healthy progress? Try it for a week — you’ll be shocked.
#إعلان InsideAds
Must watch "AI Engineer YouTube Playlist"
1. Neural Networks Zero to Hero (Karpathy) - https://lnkd.in/gBVSQqFf
2. Language Modelling from Scratch (Stanford CS336 2025) - https://lnkd.in/guuhQ8gA
3. Introduction to Deep Learning (MIT 6.S191 2025) - https://lnkd.in/ggBB_aCm
4. Introduction to Transformers (Talk - Andrej Karpathy) - https://lnkd.in/gYMTVVmH
5. Building LLMs (Stanford CS229 Guest Lecture) - https://lnkd.in/gP9xqXxi
6. Deep Dive into LLMs like ChatGPT - https://lnkd.in/gtZ9BAdA
7. Let’s Build GPT from Scratch - https://lnkd.in/gdNj7_Tw
8. Agentic AI by Stanford - https://lnkd.in/gknxmPQG
9. Transformers and Self-Attention - https://lnkd.in/gvZZtciU
https://t.me/CodeProgrammer ✈️
Your visit to advertising channels is a support for us to continue creating new content that is useful to you, please contribute this simple support
Feel like the market’s too volatile for comfort? Discover how disciplined ETF investing and the Wheel Strategy can help you earn steady income even when headlines swing. Each week at Simply Invest | Wheel & Wealth you get real trades, clear lessons, and a proven path to low-risk financial growth.
Unlock smarter investing here—your wealth-building journey starts now.
#إعلان InsideAds
Want to learn Python quickly and from scratch? Then here’s what you need — CodeEasy: Python Essentials
🔹Explains complex things in simple words
🔹Based on a real story with tasks throughout the plot
🔹Free start
Ready to begin? Click https://codeeasy.io/course/python-essentials 🌟
👉 @DataScience4
🥇 This repo is like gold for every data scientist!
✅ Just open your browser; a ton of interactive exercises and real experiences await you. Any question about statistics, probability, Python, or machine learning, you'll get the answer right there! With code, charts, even animations. This way, you don't waste time, and what you learn really sticks in your mind!
⬅️ Data science statistics and probability topics
⬅️ Clustering
⬅️ Principal Component Analysis (PCA)
⬅️ Bagging and Boosting techniques
⬅️ Linear regression
⬅️ Neural networks and more...
┌ 📂 Int Data Science Python Dash
└ 🐱 GitHub-Repos
👉 @codeprogrammer
Stop wasting time scrolling. Start making money. 💰
With @TaniaTradingAcademy you just copy, paste… and cash out.
No stress. No complicated strategies. Just pure profits.
💥 Anyone can do it. The earlier you join, the faster you win.
🟣 Join the winning side 👉 @TaniaTradingAcademy
#إعلان InsideAds
I recommend you to join @TradingNewsIO for Global & Economic News 24/7
⚡️Stay up-to-date with real-time updates on global events.
➡️ Click Here and JOIN NOW !
#إعلان InsideAds
This repository contains a collection of everything needed to work with libraries related to AI and LLM.
More than 120 libraries, sorted by stages of LLM development:
→ Training, fine-tuning, and evaluation of LLM models
→ Integration and deployment of applications with LLM and RAG
→ Fast and scalable model launching
→ Working with data: extraction, structuring, and synthetic generation
→ Creating autonomous agents based on LLM
→ Prompt optimization and ensuring safe use in production
🌟 link: https://github.com/Shubhamsaboo/awesome-llm-apps
👉 @codeprogrammer
No skills? No problem. Just copy-paste and GET PAID.
➡️ 22,000+ already started… YOU'RE NEXT! Click here @NPFXSignals
#إعلان InsideAds
