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
Red:📈 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 68 477 suscriptores, ocupando la posición 2 400 en la categoría Educación y el puesto 4 598 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 68 477 suscriptores.
Según los últimos datos del 31 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 12, y en las últimas 24 horas de -24, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.99%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.46% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 735 visualizaciones. En el primer día suele acumular 998 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 02 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.
68 477
Suscriptores
-2424 horas
-947 días
+1230 días
Archivo de publicaciones
Get top-tier market analysis: world events meet technical trading.
I'm Michael 👋. My team and I share our market insights daily on our Telegram channel. Over the past weekend, our strategies delivered up to +39% gains.
We will tell you everything on the channel, even for beginners.
Join the channel below! 👇
https://t.me/+9mZure1faNRkOTE8
Repost from Learn Python Coding
✨ Download a Free Python Cheat Sheet ✨
📖 Download a free Python 3 cheat sheet PDF put together by the Real Python team.
🏷️ #Python
I was earning NOTHING just 2 weeks ago… now my phone lights up: +$2,679 this week, no charts, zero stress.
If you thought AI trading bots were for “geniuses” — you’re missing the secret 900+ people already use. Don’t let them win alone 🚀
Ready for your first passive income alert? Here’s how
#إعلان InsideAds
Как узнать, что кожа говорит о тебе?
Твоя усталость может отражаться высыпаниями, стресс — покраснением, а бессонница — сухостью.
Настоящий уход — это забота, а не просто баночки на полке.
Хочешь понять язык своей кожи и настроить рутину так, чтобы видеть реальный результат? Загляни сюда — здесь с тобой говорят на языке тела и чувств, не шаблонов.
#إعلان InsideAds
🚀 Join the EG Investment Team! 🚀
💵 We invest USDT with high returns – 55–65 days to double your capital!
One-time investment is enough to start working with the team. Minimum entry – 300 USDT, recommended – from 1000 USDT.
🔥 High income = high risk
This is passive income with no special knowledge required.
Yes, you’ll need to do small daily actions on the exchange, but don’t worry – it’s simple.
📊 In my channel you’ll find:
✔️ History and daily updates on my own deposit
✔️ Bonuses for new members of my team
💬 Want to join?
Join the group, send me a DM, and become part of the team – your capital could start working today!
P.S. Investments always carry risk. Only invest what you are ready to lose.
#إعلان InsideAds
We offer you daily Udemy courses for free and without any fees.
https://t.me/DataScienceC
Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
Repost from Github Top Repositories
🔥 Trending Repository: awesome-deep-vision
📝 Description: A curated list of deep learning resources for computer vision
🔗 Repository URL: https://github.com/kjw0612/awesome-deep-vision
📖 Readme: https://github.com/kjw0612/awesome-deep-vision#readme
📊 Statistics:
🌟 Stars: 11K stars
👀 Watchers: 1.1k
🍴 Forks: 2.8K forks
💻 Programming Languages: Not available
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceN
https://t.me/DataScienceN.
We have created a channel to guide students towards their educational paths correctly
Join our channel
We offer you daily Udemy courses for free and without any fees.
https://t.me/DataScienceC
Repost from Github Top Repositories
🔥 Trending Repository: awesome-deeplearning-resources
📝 Description: Deep Learning and deep reinforcement learning research papers and some codes
🔗 Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
📖 Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
📊 Statistics:
🌟 Stars: 2.9K stars
👀 Watchers: 221
🍴 Forks: 666 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#nlp #video #reinforcement_learning #deep_learning #neural_network #code #paper #corpus #modelzoo================================== 🧠 By: https://t.me/DataScienceN
Repost from Github Top Repositories
🔥 Trending Repository: awesome-transformer-nlp
📝 Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
🔗 Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
📖 Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 41
🍴 Forks: 131 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#nlp #natural_language_processing #awesome #transformer #neural_networks #awesome_list #llama #transfer_learning #language_model #attention_mechanism #bert #gpt_2 #xlnet #pre_trained_language_models #gpt_3 #gpt_4 #chatgpt================================== 🧠 By: https://t.me/DataScienceM
Repost from Github Top Repositories
🔥 Trending Repository: SemanticSegmentation_DL
📝 Description: Resources of semantic segmantation based on Deep Learning model
🔗 Repository URL: https://github.com/tangzhenyu/SemanticSegmentation_DL
📖 Readme: https://github.com/tangzhenyu/SemanticSegmentation_DL#readme
📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 77
🍴 Forks: 315 forks
💻 Programming Languages: Jupyter Notebook - Python - Shell - sed
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
Good news: We have launched the GitHub Top 13 Repo service daily in our channel
https://t.me/DataScienceM
There are now free courses available for a limited time on our channel
https://t.me/DataScienceC
Python library that adds Generative AI capabilities to Pandas!
PandasAI analyzes complex data frames and plot visualizations just by using natural language.
GitHub: https://github.com/sinaptik-ai/pandas-ai
We offer you daily Udemy courses for free and without any fees.
https://t.me/DataScienceC
We offer you daily Udemy courses for free and without any fees.
https://t.me/DataScienceC
We offer you daily Udemy courses for free and without any fees.
https://t.me/DataScienceC
