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Coding & AI Resources

Coding & AI Resources

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📚Get daily updates for : ✅ Free resources ✅ All Free notes ✅ Internship,Jobs and a lot more....😍 📍Join & Share this channel with your friends and college mates ❤️ Managed by: @love_data Buy ads: https://telega.io/c/leadcoding

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📈 Análisis del canal de Telegram Coding & AI Resources

El canal Coding & AI Resources (@leadcoding) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 35 266 suscriptores, ocupando la posición 5 390 en la categoría Educación y el puesto 10 871 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 35 266 suscriptores.

Según los últimos datos del 30 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -137, y en las últimas 24 horas de 1, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.31%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.75% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 816 visualizaciones. En el primer día suele acumular 266 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
  • Intereses temáticos: El contenido se centra en temas clave como learning, link:-, element, programming, analytic.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“📚Get daily updates for : ✅ Free resources ✅ All Free notes ✅ Internship,Jobs and a lot more....😍 📍Join & Share this channel with your friends and college mates ❤️ Managed by: @love_data Buy ads: https://telega.io/c/leadcoding”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 31 octubre, 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.

35 266
Suscriptores
+124 horas
-417 días
-13730 días
Archivo de publicaciones
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Machine Learning Interview Questions

Python Libraries For Data Science
Python Libraries For Data Science

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Multimodal Deep Learning This book is the result of a seminar in which we reviewed multimodal approaches and attempted to create a solid overview of the field, starting with the current state-of-the-art approaches in the two subfields of Deep Learning individually.

Creative Prototyping with Generative AI (2023).pdf30.13 MB

The Statistics and Machine Learning with R Workshop Liu Peng, 2023

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