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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 68 482 subscribers, ranking 2 406 in the Education category and 4 586 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 482 subscribers.

According to the latest data from 04 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -75 over the last 30 days and by 7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.38%. Within the first 24 hours after publication, content typically collects 1.57% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 314 views. Within the first day, a publication typically gains 1 073 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 9.
  • 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 05 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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68 482
Subscribers
+724 hours
-597 days
-7530 days
Posts Archive
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🌟 Embark on a Journey of Discovery and Innovation with @DeepLearning_ai! and @MachineLearning_Programming 🌟 What We Offer:
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@codeprogrammer Scientific Python Lectures.pdf18.68 MB

🤖 The most huge collection of cheats for ChatGPT! With these chips the AI will work without limits, gossip about everything
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!! Meet AHelp AI Writing Bot — a Telegram assistant for students !! What does it do? Powered by GPT, it can easily paraphrase
!! Meet AHelp AI Writing Bot — a Telegram assistant for students !! What does it do? Powered by GPT, it can easily paraphrase texts, write in various styles, and polish your papers beyond perfection. 😲 This bot is: ✅ Free and equipped with a paraphraser, summarizer, and grammar checker ✅ Designed for academic texts and overall quality writing ✅ Works with English, Spanish, Portuguese, German, French, Italian, and Dutch To use it, simply start the bot, choose the tool you want to work with, and paste the text in. You’ll get a revised version that you can edit to your liking. Check out AHelp AI Writing for free.

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I have a premium account ✅ Hamster game, clicks will soon be converted into money 💵 The hamster game is played by more than
I have a premium account ✅ Hamster game, clicks will soon be converted into money 💵 The hamster game is played by more than 100 million users on Telegram, and their official channel has 31 million subscribers. As shown in the picture: I own a special Telegram, and therefore you will get 25,000 points for each friend you invite instead of 5,000 points. Play: https://t.me/hamster_koMbat_bot/start?startapp=kentId418788114

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🖥 Python cheat sheet, which contains small scripts for solving everyday problems By the way, here are some of them: ✔️ add t
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🖥 Python cheat sheet, which contains small scripts for solving everyday problems By the way, here are some of them: ✔️ add the sample.txt file to the .tar.gz archive:
import tarfile
with tarfile.open('sample.tar.gz', 'w:gz') as tar:
tar.add('sample.txt')
✔️ clear output of differences between strings
import difflib
diff = difflib.ndiff('one\ntwo\nthree\n'.splitlines(keepends=True),
'ore\ntree\nemu\n'.splitlines(keepends=True))
print(''.join(diff))
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🚀 Top 10 YouTube Channels to Explore AI We’ve carefully selected the best YouTube channels for diving deep into AI: 1. Sentd
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