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AI and Machine Learning

AI and Machine Learning

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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

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📈 Análisis del canal de Telegram AI and Machine Learning

El canal AI and Machine Learning (@machine_learning_courses) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 94 085 suscriptores, ocupando la posición 1 556 en la categoría Educación y el puesto 3 013 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 94 085 suscriptores.

Según los últimos datos del 25 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 981, y en las últimas 24 horas de 47, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.77%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.34% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 6 370 visualizaciones. En el primer día suele acumular 2 203 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 9.
  • Intereses temáticos: El contenido se centra en temas clave como learning, llm, linkedin, linux, udemy.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 26 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.

94 085
Suscriptores
+4724 horas
+1877 días
+98130 días
Archivo de publicaciones
07 - Appendix - Python Crash Course

06 - Deploying in another open-course cloud

05 - Deploy Web App in Heroku Cloud

04 - Face Recognition Project (Integrating HTML Model to Flask App)

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 04

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 03

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 02

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 01

02 - Image Processing with OpenCV

01 - Introduction - Part 02

01 - Introduction - Part 01

🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes 💰 Original Price: $69.99 📖 Create an Face R
🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes 💰 Original Price: $69.99
📖 Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy
🔊 Taught By: datascience Anywhere, G Sudheer 📤 Download Full Course 📤 Download All Courses

💰 AI Terms You Must Know
💰 AI Terms You Must Know

⚠️ Exciting News! 🎉 Thanks to your votes and support, we’re thrilled to announce the launch of our new channel: The Coding S
⚠️ Exciting News! 🎉 Thanks to your votes and support, we’re thrilled to announce the launch of our new channel: The Coding Space!
This channel is dedicated to helping you master programming and coding, featuring tutorials on Python, Java, C, C++, C#, and more. Whether you’re a beginner or looking to level up your skills, The Coding Space is here to guide you.
🌟 Stay tuned for high-quality content, tips, and resources designed to make you a better programmer! 📱 Join us now and start coding smarter! Thank you for being an amazing community! ❤️

AI is learning very fast.

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📦 Exercise Files

📱Machine Learning and Artificial intelligence 📱Machine Learning and AI Foundations: Advanced Decision Trees with KNIME

🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🌐 Author: Keith McCormick 🔰 Level: Advanced ⏰ Du
🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🌐 Author: Keith McCormick 🔰 Level: AdvancedDuration: 1h 33m
🌀 Learn to go beyond the basic decision tree algorithms in KNIME by accessing WEKA, R, and Python-based decision tree and rule induction algorithms from within the KNIME platform.
📗 Topics: Decision Trees, Knime, Machine Learning 📤 Join Machine Learning and Artificial intelligence for more courses

AI and Machine Learning - Estadísticas y analítica del canal de Telegram @machine_learning_courses