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Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Mostrar más📈 Análisis del canal de Telegram Github Top Repositories
El canal Github Top Repositories (@githubre) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 13 355 suscriptores, ocupando la posición 15 230 en la categoría Educación y el puesto 31 848 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 13 355 suscriptores.
Según los últimos datos del 18 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 431, y en las últimas 24 horas de 13, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.06%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.78% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 142 visualizaciones. En el primer día suele acumular 104 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
- Intereses temáticos: El contenido se centra en temas clave como repository, fork, programming, statistic, description.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 19 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.
13 355
Suscriptores
+1324 horas
+757 días
+43130 días
Archivo de publicaciones
13 355
![[Coursera] Machine Learning On Google Cloud Specialization What you’ll learn – Use Vertex AI AutoML and BigQuery ML to build,](https://cdn.tlmtr.io/_next/static/media/empty-channel.35ed232f.svg)
[Coursera] Machine Learning On Google Cloud Specialization
What you’ll learn
– Use Vertex AI AutoML and BigQuery ML to build, train, and deploy ML models
– Implement machine learning models using Keras and TensorFlow 2.x
– Implement machine learning in the enterprise best practices
– Describe how to perform exploratory data analysis and improve data quality
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13 355
[PacktPub] Probability / Statistics – The Foundations Of Machine Learning [Video]
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13 355
[VueMastery] Programming an AI-Powered App
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https://t.me/+m8PrTuog5cgwMzUy
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13 355
[Coursera] IBM Data Analyst Professional Certificate
There are 9 Courses in this Professional Certificate
1 Introduction to Data Analytics
2 Excel Basics for Data Analysis
3 Data Visualization and Dashboards with Excel and Cognos
4 Python for Data Science, AI & Development
5 Python Project for Data Science
6 Databases and SQL for Data Science with Python
7 Data Analysis with Python
8 Data Visualization with Python
9 IBM Data Analyst Capstone Project
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13 355
[Coursera] Deep Learning Specialization
Specialization – 5 course series
1. Neural Networks and Deep Learning
2. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
3. Structuring Machine Learning Projects
4. Convolutional Neural Networks
5. Sequence Models
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13 355
[TalkPython] Python Data Visualization Course
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13 355
[TalkPython] Python 3.11: A Guided Tour Through Code Course
What will you learn?
In this course, you will:
– Gain a comprehensive understanding of Python 3.11’s features
– See how TaskGroups can clean up and improve multiple coordinated async tasks
– Handle multiple errors with Python’s new except * syntax
– See how 3.11’s new and improved error messages will help both with developing and fixing errors in production
– Add notes to exceptions to improve the context and understanding of what went wrong
– Coordinate multiple async tasks with asyncio.Barrier
– Add a timeout to a group of async tasks with the new timeout context manager
– See why and how 3.11’s zero-cost exceptions work
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13 355
[Let’s Get Rusty] Rust Developer Bootcamp
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13 355
[SkillShare] Python 3 – Object Oriented Programming
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13 355
[RealPython] Real Python Tutorials Collection ( 30 courses)
🌸 Course price: 15$
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