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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 67 818 suscriptores, ocupando la posición 2 429 en la categoría Educación y el puesto 5 036 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 818 suscriptores.

Según los últimos datos del 14 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 66, y en las últimas 24 horas de 5, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.52%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.70% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 3 064 visualizaciones. En el primer día suele acumular 1 155 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 5.
  • 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 15 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.

67 818
Suscriptores
+524 horas
Sin datos7 días
+6630 días
Archivo de publicaciones
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@codeprogrammer Python Cheat Sheet for Beginners.pdf7.06 MB

Python Cheat Sheet for Beginners Python is the most popular programming language in data science. Use this cheat sheet to jum
Python Cheat Sheet for Beginners Python is the most popular programming language in data science. Use this cheat sheet to jumpstart your Python learning journey.

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@codeprogrammer Deep Learning with PyTorch Cheat Sheet.pdf5.76 MB

Deep Learning with PyTorch Cheat Sheet Learn everything you need to know about PyTorch in this convenient cheat sheet PyTorch
Deep Learning with PyTorch Cheat Sheet Learn everything you need to know about PyTorch in this convenient cheat sheet PyTorch is an open-source machine learning library primarily developed by Facebook's AI Research Lab (FAIR). It is widely used for various machine learning and deep learning tasks, including neural network development, natural language processing (NLP), computer vision, and reinforcement learning. In this cheat sheet, learn all the fundamentals of working with PyTorch in one convenient location! Download 👇👇👇

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