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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
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 67 815 suscriptores, ocupando la posición 2 419 en la categoría Educación y el puesto 5 033 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 815 suscriptores.
Según los últimos datos del 12 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 57, y en las últimas 24 horas de 3, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.13%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.69% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 799 visualizaciones. En el primer día suele acumular 1 149 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 6.
- 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 13 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.
67 815
Suscriptores
+324 horas
-187 días
+5730 días
Archivo de publicaciones
K-Means clustering, visually explained
📂 Tags: #python #ML
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Repost from Auto Udemy
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Repost from Machine Learning
Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform.
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Repost from Data Science Books
+1
Data Visualization with Microsoft Power BI (2024 - 5⭐️)
Hands-On Large Language Models (2024 - 5⭐️)
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📂 Tags: #transformers #python #nlp
http://t.me/codeprogrammer 🔒
The Transformers architecture clearly explained 🫴
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📂 Tags: #transformers #python #nlp
http://t.me/codeprogrammer 🔒
The Transformer's decoder clearly explained 👇
📂 Tags: #transformers #python #nlp
http://t.me/codeprogrammer 🔒
The Transformer's encoder clearly explained 👇
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Format (3h/forever post)
Contact @Hussein_Sheikho
✅ Screenshot-To-Code
🔨 This is a simple application that converts a screenshot into HTML/Tailwind CSS code .
✔️ The app uses GPT-4 Vision to generate code and DALL-E 3 to create similar images .
✅ The app has a React/Vite frontend and a FastAPI backend , and requires an OpenAI API key with access to the GPT-4 Vision API .
🔗 links: https://github.com/abi/screenshot-to-code
📂 Tags: #html #openai #chatgpt
http://t.me/codeprogrammer 🔒
