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🔸This Channel is Only For Educational Purposes. No Copyright Infringement Intended. 🔸All the Credits & Rights Reserved to the Actual Owners. ✅ paid promotion DM @CODInitBot #studymaterial #interview #placement #notes #course #gate #freecourse #job

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📈 Análisis del canal de Telegram FREE NOTES 🔖CODINIT🔖

El canal FREE NOTES 🔖CODINIT🔖 (@cod_init) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 12 040 suscriptores, ocupando la posición 16 389 en la categoría Educación y el puesto 32 552 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 12 040 suscriptores.

Según los últimos datos del 31 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -172, y en las últimas 24 horas de -4, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 0%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.32% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 0 visualizaciones. En el primer día suele acumular 279 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
🔸This Channel is Only For Educational Purposes. No Copyright Infringement Intended. 🔸All the Credits & Rights Reserved to the Actual Owners. ✅ paid promotion DM @CODInitBot #studymaterial #interview #placement #notes #course #gate #freecourse #j...

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 01 septiembre, 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.

12 040
Suscriptores
-424 horas
-377 días
-17230 días
Archivo de publicaciones
Sql Basic to Advanced.pdf

12 Steps You Should Follow to Become a Machine Learning Engineer If you're looking to start a career in machine learning engineering or considering a career switch, you should focus on the following key areas: Mathematics & Statistics: • Linear Algebra, Calculus, and Probability & Statistics: https://lnkd.in/eabKGp.p • OpenIntro Statistics - https://lnkd.in/eQvjgbmB 2-SQL & Databases: https://lnkd.in/ea2DmZ2d 3-Core Concepts of Machine Learning: • Google's ML Crash Course - https://lnkd.in/eT7NiGp6 • Andrew Ng's Coursera ML Course - https://lnkd.in/e964AC7Fast.al's Practical Deep Learning- https://course.fast.ai/ 4-Programming Skills (Python & Libraries): • Corey Schafer's Python Tutorials - https://lnkd.in/euyfHHxa • Scikit-learn- https://lnkd.in/eqFhCwXt • TensorFlow - https://lnkd.in/e6RWbe9h • PyTorch - https://lnkd.in/efhPxZPM 5- Model Training & Tuning Techniques: • Kaggle's Intermediate ML- https://lnkd.in/e89AmkzE • Hyperparameter Tuning- https://lnkd.in/ezEnqeG2 6-Advanced Deep Learning Models: • Stanford's CS231n (CNNs) - http://cs231n.github.io/ • Deep Learning Book- https://lnkd.in/e_utEgZM 7-Deployment, Monitoring, & Maintenance: • Docker - https://lnkd.in/esXHzx9k ⚫ Git - https://lnkd.in/esQBFMxS • AWS ML- https://lnkd.in/eZcdQPee ⚫ Azure ML - https://lnkd.in/e5fvmvtk 8-Resume Preparation Soft Skills & Tips: • Resume https://lnkd.in/eP7isRZF • Soft Skills & Tips: https://lnkd.in/e_xE4wdr 9- Machine Learning Projects: • https://lnkd.in/e5kyv3Tv These resources will help you build a strong foundation in machine learning, and develop the skills necessary to excel as a machine learning engineer. Remember, practice is key—so work on projects and apply your knowledge to real-world problems for the best learning experience. If you think I've missed something, please feel free to mention it in the comments section.

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