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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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πŸ“ˆ 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 67 815 subscribers, ranking 2 419 in the Education category and 5 033 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 67 815 subscribers.

According to the latest data from 12 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 57 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.13%. Within the first 24 hours after publication, content typically collects 1.69% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 799 views. Within the first day, a publication typically gains 1 149 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
  • Thematic interests: Content is focused on key topics such as insidead, learning, degree, evaluation, algorithm.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn 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 13 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.

67 815
Subscribers
+324 hours
-187 days
+5730 days
Posts Archive
K-Means clustering, visually explained πŸ“‚ Tags: #python #ML http://t.me/codeprogrammer πŸ”’

🚨Lisa is giving away $10,000 for subscribing to her channel. πŸ”ΈProfessional trader, announced a massive $10,000 contest. Thi
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Master Automation with AI πŸš€ In this Session, you'll discover how to: Supercharge Your Lead Generation with AI β€’ Automate you
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Repost from Machine Learning
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Repost from Data Science Books
Data Visualization with Microsoft Power BI (2024 - 5⭐️) Hands-On Large Language Models (2024 - 5⭐️) Available now in our Paid
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πŸ“‚ Tags: #transformers #python #nlp http://t.me/codeprogrammer πŸ”’ The Transformers architecture clearly explained 🫴
πŸ“‚ Tags: #transformers #python #nlp http://t.me/codeprogrammer πŸ”’ The Transformers architecture clearly explained 🫴

Our paid channel has been verified and is now level 10. https://t.me/+Sg7lfv7C7xtjZGNi

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πŸ“‚ Tags: #transformers #python #nlp http://t.me/codeprogrammer πŸ”’ The Transformer's decoder clearly explained πŸ‘‡
πŸ“‚ Tags: #transformers #python #nlp http://t.me/codeprogrammer πŸ”’ The Transformer's decoder clearly explained πŸ‘‡

πŸ“‚ Tags: #transformers #python #nlp http://t.me/codeprogrammer πŸ”’ The Transformer's encoder clearly explained πŸ‘‡
πŸ“‚ Tags: #transformers #python #nlp http://t.me/codeprogrammer πŸ”’ The Transformer's encoder clearly explained πŸ‘‡

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βœ… Screenshot-To-Code πŸ”¨ This is a simple application that converts a screenshot into HTML/Tailwind CSS code . βœ”οΈ The app uses GPT-4 Vision to generate code and DALL-E 3 to create similar images . βœ… The app has a React/Vite frontend and a FastAPI backend , and requires an OpenAI API key with access to the GPT-4 Vision API . πŸ”— links: https://github.com/abi/screenshot-to-code πŸ“‚ Tags: #html #openai #chatgpt http://t.me/codeprogrammer πŸ”’