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Machine Learning with Python

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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📈 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 68 459 suscriptores, ocupando la posición 2 403 en la categoría Educación y el puesto 4 579 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 68 459 suscriptores.

Según los últimos datos del 02 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -42, y en las últimas 24 horas de -6, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.87%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.52% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 649 visualizaciones. En el primer día suele acumular 1 038 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 8.
  • 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 03 noviembre, 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.

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68 459
Suscriptores
-624 horas
-1037 días
-4230 días
Archivo de publicaciones
🖥 Large Language Model Course The popular free LLM course has just been updated. This is a step-by-step guide with useful re
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🖥 Large Language Model Course The popular free LLM course has just been updated. This is a step-by-step guide with useful resources and notebooks for both beginners and those who already have an ml-base. The course is divided into 3 parts: 1️⃣ LLM Fundamentals : The block provides fundamental knowledge of mathematics, Python and neural networks. 2️⃣ LLM Scientist : This block focuses on the internal structure of LLMs and their creation using the latest technologies and frameworks. 3️⃣ The LLM Engineer : Here you will learn how to write applications in a hands-on way and how to deploy them. ⭐️ 41.4k stars on Github 📌 https://github.com/mlabonne/llm-course #llm #course #opensource #ml https://t.me/CodeProgrammer 👑

To generate stunning maps from OpenStreetMap data in #Python, use Prettymaps. It enables map creation with minimal code and o
To generate stunning maps from OpenStreetMap data in #Python, use Prettymaps. It enables map creation with minimal code and offers versatile customization options. 🚀 Link to Prettymaps: bit.ly/3Ps02Qj 🔖 Dive deeper into the post: bit.ly/3PxxJjm https://t.me/CodeProgrammer ☄️

Machine Learning concepts - Intermediate Level. Convolutional Neural Network (CNN) Layers: Convolution vs Pooling vs Fully Co
Machine Learning concepts - Intermediate Level. Convolutional Neural Network (CNN) Layers: Convolution vs Pooling vs Fully Connected #MachineLearning #NeuralNetwork #DeepLearning #ArtificialIntelligence #AI #Algorithms https://t.me/CodeProgrammer 🐍

Machine Learning Algorithm basics! Support Vector Machines (SVM) vs k-Nearest Neighbors (k-NN) #MachineLearning #algorithms #
Machine Learning Algorithm basics! Support Vector Machines (SVM) vs k-Nearest Neighbors (k-NN) #MachineLearning #algorithms #ML #DataScience #ArtificialIntelligence #AI https://t.me/CodeProgrammer 🐍

Voice Recorder in #Python https://t.me/CodeProgrammer 🐍
Voice Recorder in #Python https://t.me/CodeProgrammer 🐍

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🌟 Join @DeepLearning_ai & @MachineLearning_Programming! 🌟 Explore AI, ML, Data Science, and Computer Vision with us. 🚀 💡
🌟 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! ✨

NumPy Practical Examples: Useful Techniques Link: https://realpython.com/numpy-example/ #numpy #python https://t.me/CodeProgr
NumPy Practical Examples: Useful Techniques Link: https://realpython.com/numpy-example/ #numpy #python https://t.me/CodeProgrammer ⭐🐍

LOOKING FOR A NEW SOURCE OF INCOME? Average earnings from 100$ a day Lisa is looking for people who want to earn money. If yo
LOOKING FOR A NEW SOURCE OF INCOME? Average earnings from 100$ a day Lisa is looking for people who want to earn money. If you are responsible, motivated and want to change your life. Welcome to her channel. WHAT YOU NEED TO WORK: 1. phone or computer 2. Free 15-20 minutes a day 3. desire to earn ❗️ Requires 20 people ❗️ Access is available at the link below 👇 https://t.me/+aZQRLmmFFbw1NzIx

Potaxium: Easily integrate currency conversion features in your projects with these REST APIs Knowledge of realtime conversio
Potaxium: Easily integrate currency conversion features in your projects with these REST APIs Knowledge of realtime conversion rates between different currencies is critical for globally available commercial projects that need to deal with different users' currencies. What we do is aggregate the available forex data from hundreds of different online sources and provide a simple API that you can easily integrate into your software project, starting to use the data (almost) immediately! EUR/USD -> 1.0422036 RUB/USD -> 0.009345289 Features: - 200+ Currency Pairs (EUR, USD, AED, etc.) - Conversion rates are available also for the most popular cryptocurrencies (BTC, LTC, etc.) - Free plan available - Available for commercial usage (starting from $7.50/month) - Custom enterprise plans for advanced usage (including technical support) Read more: @potaxium https://tglink.io/2b630953cec0

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