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Machine Learning with Python

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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📈 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 67 823 suscriptores, ocupando la posición 2 412 en la categoría Educación y el puesto 5 047 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 823 suscriptores.

Según los últimos datos del 08 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 50, y en las últimas 24 horas de -5, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.79%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.60% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 895 visualizaciones. En el primer día suele acumular 1 764 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 7.
  • 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 09 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.

67 823
Suscriptores
-524 horas
+227 días
+5030 días
Archivo de publicaciones

Repost from Learn Python Coding
✨ Python Cheat Sheet ✨ 📖 Compact Python cheat sheet covering setup, syntax, data types, variables, strings, control flow, fu
Python Cheat Sheet ✨ 📖 Compact Python cheat sheet covering setup, syntax, data types, variables, strings, control flow, functions, classes, errors, and I/O. 🏷️ #Python

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This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0https://t.me/Codeprogrammer

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Introducing Vanna: An Open-Source Text-to-SQL Tool | Daily Dose of Data Science posted on the topic | LinkedIn Finally! A Text-to-SQL tool that actually works! (100% open-source, 20k+ stars) Vanna is an open-source RAG framework for complex Text-to-SQL generation, designed for handling dynamic datasets. Works in 2 easy steps: 1️⃣ Train a RAG “model” on your data. 2️⃣ Ask questions in natural language which will return SQL queries that can be set up to automatically run on your database. Key features: 🎯 High accuracy on complex datasets 🤖 Self-learning: improves with each query 🔒 Secure: data never leaves your environment 🌐 Connect to any SQL DB (Snowflake, Redshift, etc.) 🧩 Multiple front-end integrations (Jupyter, Slack, etc.) Vanna GitHub: https://github.com/vanna-ai/vanna

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“I was laughed at when I bought crypto in 2019. Now my portfolio’s up 1200% — and friends keep asking for ‘the secret’… But n
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Repost from Machine Learning
🔥 Trending Repository: 500-AI-Agents-Projects 📝 Description: The 500 AI Agents Projects is a curated collection of AI agent
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================================== 🧠 By: https://t.me/DataScienceM

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“Most traders are terrified to admit: 90% lose money. I used to be one of them… until I saw how AI actually learns from EVERY
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