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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 68 471 subscribers, ranking 2 400 in the Education category and 4 598 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 471 subscribers.

According to the latest data from 31 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 12 over the last 30 days and by -24 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.99%. Within the first 24 hours after publication, content typically collects 1.46% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 735 views. Within the first day, a publication typically gains 998 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
  • 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 01 November, 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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68 471
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Gradient Boosting for Regression Notes.pdf6.45 MB

👨🏻‍💻 One of the most popular GitHub repositories for "learning and using algorithms in Python" is The Algorithms - Python
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📌 4 GitHub Repositories Every Python Developer Should Bookmark Looking to sharpen your skills and explore high-quality open-
📌 4 GitHub Repositories Every Python Developer Should Bookmark Looking to sharpen your skills and explore high-quality open-source resources? These curated repositories will boost your Python journey: ⬇️ Explore These Resources ➤ Algorithms in Python 1️⃣ All major algorithms implemented in Python 🔗 https://lnkd.in/e7v6bkq ➤ Python Cheat Sheet 2️⃣ Handy reference for Python 3 developers 🔗 https://lnkd.in/dzkMSwXz ➤ System Design 3️⃣ Learn scalable backend architecture fundamentals 🔗 https://lnkd.in/egCaujBF ➤ Django Resources 4️⃣ Curated list for Django backend development 🔗 https://lnkd.in/d4K-9vg3 🎓 Top Python & Backend Courses 🔗 Microsoft Python Development Professional Certificate https://lnkd.in/dDXX_AHM 🔗 Google IT Automation with Python https://lnkd.in/dG67Y8nK 🔗 Meta Data Analyst Professional Certificate https://lnkd.in/dbqX77F2 🔗 IBM AI Developer Professional Certificate https://lnkd.in/dZBS2KYX https://t.me/CodeProgrammer 🩷

Repost from Machine Learning
📌 How to Become a Machine Learning Engineer (Step-by-Step) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-15 | ⏱️ Read time:
📌 How to Become a Machine Learning Engineer (Step-by-Step) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-15 | ⏱️ Read time: 12 min read Your one-stop guide to becoming a machine learning engineer

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Repost from Machine Learning
📌 Method of Moments Estimation with Python Code 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-12 | ⏱️ Read time: 10 min read Le
📌 Method of Moments Estimation with Python Code 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-12 | ⏱️ Read time: 10 min read Let’s say you are in a customer care center, and you would like to know…

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