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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 2 419 en la categoría Educación y el puesto 5 033 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 11 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 56, y en las últimas 24 horas de 0, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.96%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.43% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 683 visualizaciones. En el primer día suele acumular 1 650 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 6.
  • 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 12 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
Sin datos24 horas
-127 días
+5630 días
Archivo de publicaciones
🏳️‍🌈 Python became GitHub's first language! 👨🏻‍💻 In a recent GitHub report, with the expansion of artificial intelligenc
🏳️‍🌈 Python became GitHub's first language! 👨🏻‍💻 In a recent GitHub report, with the expansion of artificial intelligence, Python could finally overtake JavaScript and become the most popular language on GitHub in 2024. This happened after 10 years of JavaScript dominance and it is not very strange. ✔️ Because with the growth of artificial intelligence, developers are turning to Python more than ever, and Python's applications in data science and analytics are increasing every day. You can read the full GitHub report here:👇 🐱 Top programming along GitHub ├ 💰 Report I also introduced the most important Python libraries for working with data and AI here: 👇 🖥 Data Manipulation & Analysis ▶️ pandas ▶️ Apache Spark ▶️ Polars ▶️ DuckDB 📊 Data Visualization ➡️ matplotlib ➡️ plotly ➡️ seaborn 🖥 Machine & Deep Learning ➡️ TensorFlow ➡️ PyTorch ➡️ Keras ➡️ scikit-learn ➡️ XGBoost ➡️ LightGBM ➡️ Prophet 🌫 NLP & Large Language Models ➡️ Hugging Face Transformers ➡️ LangChain ➡️ LlamaIndex 🔑 Tags: #PYTHON #AI #ML #NLP https://t.me/CodeProgrammer

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Confusion matrix (TP, FP, TN, FN), clearly explained 🔑 Tags: #PYTHON #AI #ML https://t.me/CodeProgrammer

Convert PDF to docx using Python 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️
Convert PDF to docx using Python 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform. Students can now access free Coursera scholarships through MAJOR. Don't miss the opportunity: Click here.

A Popular Interview Question: Discriminative vs. Generative Models More Details: https://blog.dailydoseofds.com/p/a-popular-i
A Popular Interview Question: Discriminative vs. Generative Models More Details: https://blog.dailydoseofds.com/p/a-popular-interview-question-discriminative 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️

How LLMs work, clearly explained ⭐ 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️

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Pandas Data Cleaning (Guide) 🔑 Tags: #Pandas #DataCleaning #ML https://t.me/DataScienceM

Pandas Data Cleaning (Guide) 🔑 Tags: #Pandas #DataCleaning #ML https://t.me/DataScienceM ✅
Pandas Data Cleaning (Guide) 🔑 Tags: #Pandas #DataCleaning #ML https://t.me/DataScienceM

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The Brains Behind LLMs: An Introductory Guide to Transformers and Attention Mechanisms https://www.linkedin.com/pulse/brains-
The Brains Behind LLMs: An Introductory Guide to Transformers and Attention Mechanisms https://www.linkedin.com/pulse/brains-behind-llms-introductory-guide-transformers-attention-sa1me

First telegram AI Friend for your Group Chats It can talk so you don't get bored and it can summarize the conversation of you
First telegram AI Friend for your Group Chats It can talk so you don't get bored and it can summarize the conversation of your friends so you never miss anything @FunnyJinnBot

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