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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 68 475 suscriptores, ocupando la posición 2 406 en la categoría Educación y el puesto 4 586 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 68 475 suscriptores.

Según los últimos datos del 03 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -74, y en las últimas 24 horas de 12, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.07%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.55% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 789 visualizaciones. En el primer día suele acumular 1 062 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 04 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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68 475
Suscriptores
+1224 horas
-827 días
-7430 días
Archivo de publicaciones
Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Amazing graphical representation of a neural net, never seen anything like it. Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #Pandas http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

NumPy cheat sheet for Data Scientists Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #Panda
NumPy cheat sheet for Data Scientists Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #Pandas http://t.me/codeprogrammer ⭐️

Python Pandas Cheat Sheet Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #Pandas http://t.m
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Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Repost from Kaggle Data Hub
Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Using Normalization Layers to Improve Deep Learning Models Link: https://machinelearningmastery.com/using-normalization-layer
Using Normalization Layers to Improve Deep Learning Models Link: https://machinelearningmastery.com/using-normalization-layers-to-improve-deep-learning-models/ Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #LLM http://t.me/codeprogrammer ⭐️

How to deal with outliers clearly explained Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI
How to deal with outliers clearly explained Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #LLM http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.

Repost from Machine Learning
Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform. Students can now access free Coursera scholarships through MAJOR. Don't miss the opportunity: Click here.

Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.

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Data Pre-Processing of Diabetes Data for reliable machine learning model Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML http://t.me/codeprogrammer ⭐️

Beginner's Guide to Multi-Agents - Slides Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML http://t.me/codeprogrammer ⭐️

Beginner's Guide to Multi-Agents Video Recording: https://youtu.be/lGQ9rpfQBng Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML http://t.me/codeprogrammer ⭐️

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Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.