es
Feedback
Machine Learning with Python

Machine Learning with Python

Ir al canal en Telegram

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
Follow the Python | Machine Learning | Data Science channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

#Google #Colab notebooks to learn #Transformers 😎 Link: https://github.com/nlp-with-transformers/notebooks #DataScientist #A
#Google #Colab notebooks to learn #Transformers 😎 Link: https://github.com/nlp-with-transformers/notebooks
#DataScientist #AI #ML #DataScience #LLM #PYTHON #PYTORCH #DEEPLEARNING #GenerativeAI https://t.me/CodeProgrammer

Add your friends now https://t.me/CodeProgrammer Surprise ☄

Pen and Paper Exercises in MachineLearning Free 211-page PDF: arxiv.org/abs/2206.13446 GitHub: https://github.com/michaelgutm
Pen and Paper Exercises in MachineLearning Free 211-page PDF: arxiv.org/abs/2206.13446 GitHub: https://github.com/michaelgutmann/ml-pen-and-paper-exercises
#DataScientist #AI #ML #DataScience #LLM #PYTHON #PYTORCH #DEEPLEARNING #GenerativeAI https://t.me/CodeProgrammer

photo content

photo content

🌟 HFeng Cloud | Cost-Effective Cloud Ecosystem Agent 1.Price Revolution: partnerships with AWS/Aliyun/Tencent Cloud/Huawei C
🌟 HFeng Cloud | Cost-Effective Cloud Ecosystem Agent 1.Price Revolution: partnerships with AWS/Aliyun/Tencent Cloud/Huawei Cloud, offering discounts starting at 60% off TG Bot for automated orders@Davis_58duodian_bot 2.Technical Support: Redefining Response Speed 7×24 support 3.Payment Freedom: USDT payments for all scenarios 🌐 Trust Endorsements 12 years of cloud service expertise,200+ cloud technology certifications Contact us directly via TG:@aliyun918 @Cloud915 @aliyun918 @hfcloud88Or 👉 click web for customized cloud solutions. PS. Become our agent to enjoy more discounts and revenue share!

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

🗂 10 “Real Data Science Portfolio” Examples 📁 I've brought you 10 of the best portfolios from data science professionals, e
🗂 10 “Real Data Science Portfolio” Examples
📁 I've brought you 10 of the best portfolios from data science professionals, each of whom has followed a unique path! Check out these 10 and get inspired to build a strong portfolio of your own!👇
1️⃣ Ken Jee Portfolio | Data Scientist ▶️ Field: Sports data analysis 👤 Link: Portfolio 2️⃣ Yassine Alouini's Portfolio | Kegel Master ▶️ Domain: Machine Learning and Kegel Competitions 👤 Link: Portfolio 3️⃣ Tatman Portfolio | Data Scientist ▶️ Domain: Natural Language Processing (NLP) 👤 Link: Portfolio 4️⃣ Robinson Portfolio | Data Scientist ▶️ Field: Statistical analysis and R programming 👤 Link: Portfolio 5️⃣ Siraj Raval's Portfolio | AI Instructor ▶️ Field: Machine Learning and Artificial Intelligence 👤 Link: Portfolio 6️⃣ Julia Silge's Portfolio | Data Scientist ▶️ Domain: Organized data and data visualization 👤 Link: Portfolio 7️⃣ Mueller Portfolio | Developer Scikit-Learn ▶️ Field: Machine learning and open source projects 👤 Link: Portfolio 8️⃣ Wickham Portfolio | Data Scientist ▶️ Area: R programming and data visualization 👤 Link: Portfolio 9️⃣ Portfolio of François Puget | Kegel Master ▶️ Domain: Advanced Machine Learning Techniques 👤 Link: Portfolio 🔟 Emily's Portfolio | Data Analyst at Disney ▶️ Domain: Data visualization and storytelling 👤 Link: Portfolio
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming https://t.me/CodeProgrammer 🧠

Story

Find your location on Map using Python #DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning
Find your location on Map using Python
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming https://t.me/CodeProgrammer 🖥

important courses in my twitter account follow me https://x.com/EngSheikho

🖥 190 Python projects Link: https://amankharwal.medium.com/130-python-projects-with-source-code-61f498591bb #DataAnalytics #
🖥 190 Python projects Link: https://amankharwal.medium.com/130-python-projects-with-source-code-61f498591bb
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming https://t.me/CodeProgrammer 🖥

✅ 1 Year Perplexity Pro on Your Mail 💰 Price:$20 or ₹1500 ✅ 1 Year You.com Pro on Your Mail 💰 Price:$25 or ₹1800 💰Combo Of
+4
✅ 1 Year Perplexity Pro on Your Mail 💰 Price:$20 or ₹1500 ✅ 1 Year You.com Pro on Your Mail 💰 Price:$25 or ₹1800 💰Combo Offer:40$ Original Price:200$ How I activate ? I activate account through voucher codes on your mail for 1 year. 💡 Features Included ✅Advanced AI Models: • DeepResearch •GPT-4o, o1, o3 mini(High) • Deepseek r1[USA Hosted Uncensored] • Llama 3.1 •Claude 3.5 Sonnet, Claude 3.5 Haiku •Grok-2(Grok 3 coming too confirmed by its CEO) •FILE ANALYSIS •PRO SEARCH ✅Image Generation 🎥 •Flux, DALL-E 3 •Playground v3, Stable Diffusion XL ✔️ What You Get •1 year of full access. •A 12-month warranty is included. 💨 This post will be deleted/removed after 24 hours so save my username or contact immediately. 💰 Payment Method: Crypto[LTC or USDT] or UPI ✅ For Inquiry/Purchase DM: @AiChatBoss

More courses in our telegram channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A Only for 40 members

✅ Free ML Books You Should Know! 1⃣ Dive into Deep Learning: https://d2l.ai 🔢 Deep Learning: https://deeplearningbook.org 🔢
✅ Free ML Books You Should Know! 1⃣ Dive into Deep Learning: https://d2l.ai 🔢 Deep Learning: https://deeplearningbook.org 🔢 Interpretable Machine Learning: https://christophm.github.io/interpretable-ml-book/ 🔢 Machine Learning Yearning: https://info.deeplearning.ai/machine-learning-yearning-book 🔢 Mathematics for Machine Learning: https://mml-book.github.io 🔢 An Introduction to Statistical Learning: https://statlearning.com
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming https://t.me/CodeProgrammer 🖥

Understanding Probability Distributions for Machine Learning with Python In machine learning, probability distributions play
Understanding Probability Distributions for Machine Learning with Python In machine learning, probability distributions play a fundamental role for various reasons: modeling uncertainty of information and #data, applying optimization processes with stochastic settings, and performing inference processes, to name a few. Therefore, understanding the role and uses of probability distributions in machine learning is essential for designing robust machine learning models, choosing the right #algorithms, and interpreting outputs of a probabilistic nature, especially when building #models with #machinelearning-friendly programming languages like #Python. This article unveils key #probability distributions relevant to machine learning, explores their applications in different machine learning tasks, and provides practical Python implementations to help practitioners apply these concepts effectively. A basic knowledge of the most common probability distributions is recommended to make the most of this reading. Read Free: https://machinelearningmastery.com/understanding-probability-distributions-machine-learning-python/ https://t.me/CodeProgrammer 🖥

Good morning all

Generative AI for beginners by Microsoft 21 Lessons teaching everything you need to know to start building Generative AI appl
Generative AI for beginners by Microsoft 21 Lessons teaching everything you need to know to start building Generative AI applications Enroll Free: https://github.com/microsoft/generative-ai-for-beginners
#GenerativeAI #LLM #GAN #PYTHON #PYTORCH #ML #DEEPLEARNING #RAG https://t.me/CodeProgrammer