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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 67 816 suscriptores, ocupando la posición 2 417 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 67 816 suscriptores.
Según los últimos datos del 10 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 49, y en las últimas 24 horas de -10, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.61%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.40% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 770 visualizaciones. En el primer día suele acumular 1 628 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 11 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.
67 816
Suscriptores
-1024 horas
-17 días
+4930 días
Archivo de publicaciones
10 Must-Know Python Libraries for LLMs in 2025
Large language models (LLMs) are changing the way we think about AI. They help with #chatbots, text generation, and search tools, among other natural language processing tasks and beyond. To work with #LLMs, you need the right #Python libraries.
In this article, we explore 10 of the Python libraries every developer should know in 2025.
Read and learn:
https://machinelearningmastery.com/10-must-know-python-libraries-for-llms-in-2025/
https://t.me/CodeProgrammer ✅
😍 New to AI agents?
This free 10-part course on #GitHub will guide you from concept to #code as you start building #AI #agents:
⚡ Link: msft.it/6013qZ7Zb
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras https://t.me/CodeProgrammer ✅
🔍 Free Data Analytics Courses by Microsoft
1. Get started with microsoft data analytics
https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft/
2. Introduction to version control with git
https://learn.microsoft.com/en-us/training/paths/intro-to-vc-git/
3. Microsoft azure ai fundamentals
https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras https://t.me/CodeProgrammer ✅
"Introduction to Python Programming"
This 415-pages #FREE book is perfect if you are starting your #Python journey.
Download book: https://t.co/aMLeAQre6r
#DataAnalytics #DataScience #MachineLearning #DeepLearning #Statistics #Probability #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #Mathematics #PythonProgramming https://t.me/CodeProgrammer ✅
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our programming channels
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Contact
t.me/HusseinSheikho
🔖 The book that paved the way for me to "data science"!
👨🏻💻 "Where do I start now?" This was the first and biggest question I faced when I started my Data Science learning journey!
⏪ I was really overwhelmed by the large number of scattered sources, long courses, and specialized books full of heavy terminology. I didn't know how to start and move forward in this direction...
✔️ But the book Intro to Data Science with Python changed everything for me and gave me a new perspective!
✏️ This book is a complete guide to starting from scratch and is great for both beginners and professionals in this field!! From coding with Python to working with data, visualization, and even AI tools, it explains everything in the simplest and most practical way possible.
💸 A great start for anyone looking to learn data science with Python!👇
┌ 🏳️🌈 Intro to Data Science with Python
├ 📄 E-book
└ 🐱 GitHub-Repos
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras https://t.me/CodeProgrammer ✅
Machine Learning from Scratch by Danny Friedman
This book is for readers looking to learn new machine learning algorithms or understand algorithms at a deeper level. Specifically, it is intended for readers interested in seeing machine learning algorithms derived from start to finish. Seeing these derivations might help a reader previously unfamiliar with common algorithms understand how they work intuitively. Or, seeing these derivations might help a reader experienced in modeling understand how different algorithms create the models they do and the advantages and disadvantages of each one.
This book will be most helpful for those with practice in basic modeling. It does not review best practices—such as feature engineering or balancing response variables—or discuss in depth when certain models are more appropriate than others. Instead, it focuses on the elements of those models.
🌟 Link: https://dafriedman97.github.io/mlbook/content/introduction.html
#DataScience #MachineLearning #CheatSheet #stats #analytics #ML #IA #AI #programming #code #rstats #python #deeplearning #DL #CNN #Keras #R https://t.me/CodeProgrammer ✅
⚡ Special Offer for 3 Days:
Join our exclusive (paid) channel for a lifetime and get your own bot to download over a million books with daily updates, and a special bot to download more than 80 million scientific articles, all for just $30, a one-time payment only.
The paid channel includes a vast encyclopedia of the most famous books and training courses in all fields of data science and programming languages.
We only accept payments via PayPal and cryptocurrencies.
Contact:
t.me/HusseinSheikho ✅
⚡ Special Offer for 3 Days:
Join our exclusive (paid) channel for a lifetime and get your own bot to download over a million books with daily updates, and a special bot to download more than 80 million scientific articles, all for just $30, a one-time payment only.
The paid channel includes a vast encyclopedia of the most famous books and training courses in all fields of data science and programming languages.
We only accept payments via PayPal and cryptocurrencies.
Contact:
t.me/HusseinSheikho ✅
Special Offer for 3 Days:
Join our exclusive (paid) channel for a lifetime and get your own bot to download over a million books with daily updates, and a special bot to download more than 80 million scientific articles, all for just $30, a one-time payment only.
The paid channel includes a vast encyclopedia of the most famous books and training courses in all fields of data science and programming languages.
We only accept payments via PayPal and cryptocurrencies.
Contact
t.me/HusseinSheikho
Top_100_Machine_Learning_Interview_Questions_Answers_Cheatshee.pdf5.83 MB
Top 100 Machine Learning Interview Questions & Answers Cheatshee
👇👇👇👇👇👇👇👇
The Roadmap for Mastering Language Models in 2025
Link: https://machinelearningmastery.com/the-roadmap-for-mastering-language-models-in-2025/
💠Machine learning
🔸 Deep learning
💠LLM models
https://t.me/Machine_learn
