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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 68 566 subscribers, ranking 2 405 in the Education category and 4 691 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 566 subscribers.

According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 211 over the last 30 days and by -16 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.52%. Within the first 24 hours after publication, content typically collects 1.51% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 414 views. Within the first day, a publication typically gains 1 035 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.

📝 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 27 October, 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.

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Matrix Calculus for Machine Learning and Beyond! — a free ebook from MIT. This is the 2025 MIT textbook by Alan Edelman, Stev
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Complete Python Bootcamp with AI : From Beginner to Master Complete Python: From Beginner to Master ( 100000+ Students ) 🏷 C
Complete Python Bootcamp with AI : From Beginner to Master Complete Python: From Beginner to Master ( 100000+ Students ) 🏷 Category: IT & Software 🌍 Language: English 👥 Students: 110 students ⭐️ Rating: 4.4/5.0 💰 Price: $19.99 ⟹ FREE 🆔 Coupon: •••••••••• (tap below to reveal) 🔓 Tap "Get Coupon" below — the code unlocks inside the app after a short rewarded ad. 💎 By: https://t.me/Udemy26 #Python #DataScience #Automation #FreeCourse #Udemy #OnlineLearning

Repost from Data Analytics
From machine learning and data visualization to time series and financial data. This repository contains 920 open-source Pyth
From machine learning and data visualization to time series and financial data. This repository contains 920 open-source Python projects, categorized into 34 groups. It's a great collection if you want to quickly find reliable libraries and tools for machine learning, data analysis, and related tasks, rather than searching everything manually on GitHub. https://github.com/lukasmasuch/best-of-ml-python

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Repost from Machine Learning

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Repost from Data Analytics
🔖 A comprehensive resource on LLMs in one repository We found an open-source course covering Transformers, LoRA, RAG, prompt
🔖 A comprehensive resource on LLMs in one repository We found an open-source course covering Transformers, LoRA, RAG, prompts, model editing, and other key topics. After each chapter, you can immediately access the original sources – the authors have compiled papers and collections from arXiv. ⛓Link to GitHub https://github.com/ZJU-LLMs/Foundations-of-LLMs