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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 68 138 subscribers, ranking 2 366 in the Education category and 4 740 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 138 subscribers.

According to the latest data from 30 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 86 over the last 30 days and by 27 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.07%. Within the first 24 hours after publication, content typically collects 1.52% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 775 views. Within the first day, a publication typically gains 1 037 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
  • 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 31 August, 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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68 138
Subscribers
+2724 hours
-297 days
+8630 days
Posts Archive
Ever wished you got in earlier on a winning trade? While others chase hype, Moon Mission delivers laser-precise crypto signal
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Repost from Machine Learning
📌 Understanding Random Forest using Python (scikit-learn) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-15 | ⏱️ Read time:
📌 Understanding Random Forest using Python (scikit-learn) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-05-15 | ⏱️ Read time: 9 min read A Random Forest is a powerful machine learning algorithm that can be used for classification…

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229.7% profit in ONE trade. “No way, this can’t be real”—that’s what I thought before joining. But the numbers don’t lie. Wan
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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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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

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“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
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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