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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 67 810 suscriptores, ocupando la posición 2 427 en la categoría Educación y el puesto 5 028 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 810 suscriptores.
Según los últimos datos del 13 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 60, 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 4.31%. 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 2 926 visualizaciones. En el primer día suele acumular 1 148 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 14 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.
67 810
Suscriptores
-324 horas
-77 días
+6030 días
Archivo de publicaciones
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TON is Hosting Three-Day Offline Marathons for Developers in 13 Cities Worldwide
TON (The Open Network), a blockchain integrated into Telegram, is currently holding the largest hackathon in its history, “The Open League Hackathon,” with a prize pool of $2,000,000!
To support the hackathon, TON Society is organizing offline events around the world, giving Web3 enthusiasts the opportunity to spend three days immersed in development and networking.
📍 The marathons will take place in Prague, Berlin, Kyiv, Warsaw, Tbilisi, Belgrade, Seoul, Taipei (Taiwan), Gurugram (India), Hong Kong, Minsk, Moscow, and Saint Petersburg. The first events start on May 24th, so hurry up and register!
🔥 Why you should participate:
— 3 days of networking, lectures, competitions, and working on your own projects with continuous support from TON Foundation representatives and teams from the TON ecosystem. You can also join online.
— $5,000 prize for the top three projects at each offline event + plenty of merchandise and other bonuses.
Don’t miss the chance to present your mini-application to 900 million active Telegram users with TON.
Check the marathon schedule and details here - sign up and don't miss out on this great opportunity!
For guaranteed application review and other inquiries, contact the community manager @kate_shuffle
Collect the largest number of clicks. Telegram will mine these clicks and convert them into money within 3 months.
Mining quickly!
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It is an official Telegram bot and can be verified by the blue verification mark
Collect the largest number of clicks. Telegram will mine these clicks and convert them into money within 3 months.
Mining quickly!
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It is an official Telegram bot and can be verified by the blue verification mark
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Only first 10 person
+5
⚡️ Neural Networks: Zero to Hero - a block of 8 lectures and practical exercises from Andrey Karpati
This is a course on neural networks from the very basics, perhaps the best on the entire Internet.
The course is a series of YouTube videos in which Karpathy shows how to design and train neural networks.
All these results are written in Jupyter-Notebooks, you can download them and experiment
▶️ Neural Networks: Zero to Hero
✅️ http://t.me/codeprogrammer ✅️
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Repost from Python Courses & Resources
⭐🔥💥☄️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 👇
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+4
⚡️ Big ML cheat sheet
Here you will find the basic theory of Machine Learning and examples of the implementation of specific ML algorithms - in general, this is just the thing to brush up on your knowledge before the interview.
📎 Crib
✅️ http://t.me/codeprogrammer ✅️
Can someone give me Telegram Premium, I need it to continue my work
@hussein_sheikho
🎉 The first-ever Synnax Lab Datathon is now live!
Don't miss your chance to dive into a rich financial dataset of over 16k companies, compiled using quarterly and annual reports.
Compete for a share of the $8750 total prize pool & earn Synnax Points! 🌟
End: June 19, 2024
📝 More Info: Docs
🤖 Join via Telegram for easy access.: Synnax Datathon
🔆 The paid channel will contain all the books in the three channels + important books available only in the paid channel + data science courses, programming languages, and others.
All files in the paid channel will be Telegram files without any links.
pay here (Auto Accept):
https://boosty.to/datascienceteam/posts/f2ad1200-d178-40f2-b16c-dc4621b57f38
