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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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📈 Analytical overview of Telegram channel Machine Learning with Python

Channel Machine Learning with Python (@codeprogrammer) in the English language segment is an active participant. Currently, the community unites 67 823 subscribers, ranking 2 412 in the Education category and 5 047 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 67 823 subscribers.

According to the latest data from 08 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 50 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.79%. Within the first 24 hours after publication, content typically collects 2.60% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 895 views. Within the first day, a publication typically gains 1 764 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
  • Thematic interests: Content is focused on key topics such as insidead, learning, degree, evaluation, algorithm.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

Thanks to the high frequency of updates (latest data received on 09 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

67 823
Subscribers
-524 hours
+227 days
+5030 days
Posts Archive

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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🚀 2025 FREE Study Recourses from SPOTO for y’all — Don’t Miss Out! ✅ 100% Free Downloads ✅ No signup / spam 📘 #Python, Cybersecurity & Excel: https://bit.ly/4lYeVYp 📊 #Cloud Computing: https://bit.ly/45Rj1gm ☁️ #AI Kits: https://bit.ly/4m4bHTc 🔐 #CCNA Courses: https://bit.ly/45TL7rm 🧠 Free Online Practice – Test Now: https://bit.ly/41Kurjr September 8th to 21th, SPOTO launches the Lowest Price Ever on ALL products! 🔥 Amazing Discounts for 📌 CCNA 200-301 📌 CCNP 400-007 and more… 📲 Contact admin to grab them: https://wa.link/uxde01

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

📜 Щодня — нова подія з історії! ➖ цікаві факти, ➖ дати, що змінили світ, ➖ визначні українці та світові події. 👇 Натискай і
+2
📜 Щодня — нова подія з історії! ➖ цікаві факти, ➖ дати, що змінили світ, ➖ визначні українці та світові події. 👇 Натискай і підписуйся, щоб дізнаватися історію разом з нами: t.me/ukr_history_daily

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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Our channels https://t.me/addlist/8_rRW2scgfRhOTc0 + https://t.me/AutoUdemyhttps://t.me/PythonArab Audience 300k (150 k from India) Ad format: 6 hours in top / 25 days / 14 day pin Price: 50$ Contact @HusseinSheikho

“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
“I was laughed at when I bought crypto in 2019. Now my portfolio’s up 1200% — and friends keep asking for ‘the secret’… But nobody talks about the brutal truths I learned along the way. Want to see what everyone’s missing? 👉 See it here #إعلان InsideAds

Repost from Machine Learning
🔥 Trending Repository: 500-AI-Agents-Projects 📝 Description: The 500 AI Agents Projects is a curated collection of AI agent
🔥 Trending Repository: 500-AI-Agents-Projects 📝 Description: The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more. 🔗 Repository URL: https://github.com/ashishpatel26/500-AI-Agents-Projects 🌐 Website: https://github.com/ashishpatel26/500-AI-Agents-Projects 📖 Readme: https://github.com/ashishpatel26/500-AI-Agents-Projects#readme 📊 Statistics: 🌟 Stars: 7K stars 👀 Watchers: 105 🍴 Forks: 1.3K forks 💻 Programming Languages: Not available 🏷️ Related Topics:
#ai_agents #genai
================================== 🧠 By: https://t.me/DataScienceM

Think you know football? ⚽ Who scored a hat-trick in Spain and silenced critics in Italy? If you love tricky player riddles a
Think you know football? ⚽ Who scored a hat-trick in Spain and silenced critics in Italy? If you love tricky player riddles and legendary moments, this channel was made for you! Get your daily dose of brain-teasing FOOTY challenges — and join a community of real fans. 🔎 Can you guess today’s mystery player? #إعلان InsideAds

“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
“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 trade.” Nobody believed me when I said charts would be history. Want to know the protocol that could change trading forever? This is it #إعلان InsideAds

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

everyone says they want to understand LLMs. this repo makes you prove it. https://github.com/rasbt/LLMs-from-scratch

“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
“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 trade.” Nobody believed me when I said charts would be history. Want to know the protocol that could change trading forever? This is it #إعلان InsideAds

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