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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Red:📈 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 68 477 suscriptores, ocupando la posición 2 400 en la categoría Educación y el puesto 4 598 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 68 477 suscriptores.
Según los últimos datos del 31 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 12, y en las últimas 24 horas de -24, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.99%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.46% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 735 visualizaciones. En el primer día suele acumular 998 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 8.
- 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 02 noviembre, 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.
68 477
Suscriptores
-2424 horas
-947 días
+1230 días
Archivo de publicaciones
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Repost from Machine Learning
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Repost from Github Top Repositories
Eye control with Python
EyeGestures is an open-source Python library for gaze tracking. It uses regular cameras, webcams, or smartphone cameras to track eye movement, fixations, and blinks, and convert these into events such as cursor control by eye movement.
The JavaScript version allows running everything directly in the browser.
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Repost from Data Analytics
📌 How to Create a Real-Time Gesture-to-Text Translator Using Python and Mediapipe
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Repost from Machine Learning with Python
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