¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
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
Mostrar más📈 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 67 810 suscriptores, ocupando la posición 2 427 en la categoría Educación y el puesto 5 028 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 810 suscriptores.
Según los últimos datos del 13 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 60, y en las últimas 24 horas de -3, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.31%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.69% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 926 visualizaciones. En el primer día suele acumular 1 148 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 14 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.
67 810
Suscriptores
-324 horas
-77 días
+6030 días
Archivo de publicaciones
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🔺 Data science learning roadmap in 2024
👨🏻💻 If you want to start learning data science from scratch in 2024, this roadmap can be a great starting point for you.👌🏼
1️⃣ Basics of data science
🏷 Statistics and probability
◾┘️ link: Statistics & Probability
🏷 Linear Algebra
┘ ◽️ link: Essence of Linear Algebra
2️⃣ Programming language
🏷 Python
◾┘️ link: Learn Python 3
3️⃣ Data analysis and manipulation
🏷 Pandas library
◾┘️ link: pandas documentation
🏷 Data preparation with Pandas
Link : Data Wrangling with Pandas
🏷 NumPy library
◾┘️ link: NumPy documentation
4️⃣ Data visualization
🏷 Matplotlib and Seaborn library
◾┘️ Link: Matplotlib / seaborn
🏷 Tableau Public platform
Link : Tableau Public
5️⃣ Principles of machine learning
🏷 scikit-learn library
◾┘️ link: scikit-learn
6️⃣ Learning algorithms
🏷 Hands-On Machine Learning book
◾┘️ link: Hands-On ML
7️⃣ Deep learning
🏷 TensorFlow library
◾┘️ link: TensorFlow Tutorial
🏷 PyTorch library
◾┘️ Link: PyTorch Documentation
8️⃣ Big data technologies
🏷 Spark framework course
◾┘️ Link: Spark Course
9️⃣ Advanced topics
🏷 Natural language processing course in Python
◾┘️ link: NLP in Python
1️⃣ Share your projects on Kaggle and GitHub
🏷 Kaggle platform
◾┘️ link: Kaggle
🏷 GitHub platform
◾┘️ Link: GitHub
⭐️ http://t.me/codeprogrammer
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Understand the fundamental concepts and techniques of web scraping and its legal and ethical considerations.
2️⃣ Scraping with Gen AI:
Discover how Gen AI revolutionizes the web scraping landscape with real-world examples.
3️⃣ Jina Reader API:
Get acquainted with the Jina Reader API, a powerful tool for obtaining LLM-friendly input from URLs or web searches.
4️⃣ ScrapeGraphAI:
Dive into ScrapeGraphAI, a groundbreaking Python library that combines LLMs and direct graph logic for creating robust scraping pipelines.
Event Details:
🗓 Date: 22 June, Saturday
⏰ Time: 11:00 AM IST
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Connect with Founder from IIT Delhi;
https://www.linkedin.com/in/satvik-paramkusham/
🔺 Data science learning roadmap in 2024
👨🏻💻 If you want to start learning data science from scratch in 2024, this roadmap can be a great starting point for you.👌🏼
1️⃣ Basics of data science
🏷 Statistics and probability
◾┘️ link: Statistics & Probability
🏷 Linear Algebra
┘ ◽️ link: Essence of Linear Algebra
2️⃣ Programming language
🏷 Python
◾┘️ link: Learn Python 3
3️⃣ Data analysis and manipulation
🏷 Pandas library
◾┘️ link: pandas documentation
🏷 Data preparation with Pandas
Link : Data Wrangling with Pandas
🏷 NumPy library
◾┘️ link: NumPy documentation
4️⃣ Data visualization
🏷 Matplotlib and Seaborn library
◾┘️ Link: Matplotlib / seaborn
🏷 Tableau Public platform
Link : Tableau Public
5️⃣ Principles of machine learning
🏷 scikit-learn library
◾┘️ link: scikit-learn
6️⃣ Learning algorithms
🏷 Hands-On Machine Learning book
◾┘️ link: Hands-On ML
7️⃣ Deep learning
🏷 TensorFlow library
◾┘️ link: TensorFlow Tutorial
🏷 PyTorch library
◾┘️ Link: PyTorch Documentation
8️⃣ Big data technologies
🏷 Spark framework course
◾┘️ Link: Spark Course
9️⃣ Advanced topics
🏷 Natural language processing course in Python
◾┘️ link: NLP in Python
1️⃣ Share your projects on Kaggle and GitHub
🏷 Kaggle platform
◾┘️ link: Kaggle
🏷 GitHub platform
◾┘️ Link: GitHub
🔺 Data science learning roadmap in 2024
✅ If you want to start learning data science from scratch in 2024, this roadmap can be a great starting point for you.
1️⃣ Basics of data science
🏷 Statistics and probability
◾️┘️ link: Statistics & Probability
🏷 Linear Algebra
◾️┘️ link: Essence of Linear Algebra
2️⃣ Programming language
🏷 Python
◾️┘️ link: Learn Python 3
3️⃣ Data analysis and manipulation
🏷 Pandas library
◾️┘️ link: pandas documentation
🏷 Data preparation with Pandas
◾️┘️ Link : Data Wrangling with Pandas
🏷 NumPy library
◾️┘️ link: NumPy documentation
4️⃣ Data visualization
🏷 Matplotlib and Seaborn library
◾️┘️ Link: Matplotlib / seaborn
🏷 Tableau Public platform
◾️┘️ Link : Tableau Public
5️⃣ Principles of machine learning
🏷 scikit-learn library
◾️┘️ link: scikit-learn
6️⃣ Learning algorithms
🏷 Hands-On Machine Learning book
◾️┘️ link: Hands-On ML
7️⃣ Deep learning
🏷 TensorFlow library
◾️┘️ link: TensorFlow Tutorial
🏷 PyTorch library
◾️┘️ Link: PyTorch Documentation
8️⃣ Big data technologies
🏷 Spark framework course
◾️┘️ Link: Spark Course
9️⃣ Advanced topics
🏷 Natural language processing course in Python
◾️┘️ link: NLP in Python
1️⃣ Share your projects on Kaggle and GitHub
🏷 Kaggle platform
◾️┘️ link: Kaggle
🏷 GitHub platform
◾️┘️ Link: GitHub
🔺 10 free MIT data science courses
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✅ Here I have put the top 10 free MIT data science courses for you in 2024. 👇
🏷 MIT University's free data science courses
┤ ✅ Computational thinking and data science introductory course
┤ ✅ machine learning course with Python
┤ ✅ Computer science and programming course with Python
┤ ✅ Supply chain analysis course
┤ ✅ Understanding the world through data course
┤ ✅ Computational thinking course for modeling and simulation
┤ ✅ Probability Course - Science of Uncertainty and Data
┤ ✅ The course of principles of production processes
┤ ✅ Principles and basics of statistics and probability course
┘ ✅ The course of becoming an entrepreneur
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🔺 10 free MIT data science courses
☄️ If you have started learning data science, improve your learning level right now with the courses of prestigious universities and institutions in the world such as Stanford, Harvard and MIT, which are the first in the field of data science.
✅ Here I have put the top 10 free MIT data science courses for you in 2024. 👇
🏷 MIT University's free data science courses
┤ ◼️ Computational thinking and data science introductory course
┤ ◻️ machine learning course with Python
┤ ◼️ Computer science and programming course with Python
┤ ◻️ Supply chain analysis course
┤ ◼️ Understanding the world through data course
┤ ◻️ Computational thinking course for modeling and simulation
┤ ◼️ Probability Course - Science of Uncertainty and Data
┤ ◻️ The course of principles of production processes
┤ ◼️ Principles and basics of statistics and probability course
┘ ◻️ The course of becoming an entrepreneur
