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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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๐Ÿ“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 67 828 subscribers, ranking 2 402 in the Education category and 5 082 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 67 828 subscribers.

According to the latest data from 03 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 63 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 2.53%. Within the first 24 hours after publication, content typically collects 1.86% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 715 views. Within the first day, a publication typically gains 1 262 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
  • Thematic interests: Content is focused on key topics such as insidead, learning, degree, evaluation, algorithm.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œLearn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikhoโ€

Thanks to the high frequency of updates (latest data received on 04 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.

67 828
Subscribers
+324 hours
+757 days
+6330 days
Posts Archive
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๐Ÿ“š AI / ML / DL Learning Resources Hub ๐Ÿค–๐Ÿง  A structured, end-to-end roadmap to master AI โ€” from fundamentals to cutting-edge
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๐Ÿงฎ $40/day ร— 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed
๐Ÿงฎ $40/day ร— 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. ๐Ÿ‘‰ Join for Free, Click here #ad ๐Ÿ“ข InsideAd

Machine Learning Specialization โ€” Study Notes & Labs Personal notes and lab notebooks from the Machine Learning Specializatio
Machine Learning Specialization โ€” Study Notes & Labs Personal notes and lab notebooks from the Machine Learning Specialization by DeepLearning.AI & Stanford Online (Coursera), instructed by Prof. Andrew Ng. ๐Ÿ“‚ Repo: https://github.com/TruongDat05/machine-learning-notes-and-code

๐Ÿงฎ $40/day ร— 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed
๐Ÿงฎ $40/day ร— 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. ๐Ÿ‘‰ Join for Free, Click here #ad ๐Ÿ“ข InsideAd

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๐Ÿ”ฅ Convolutional Neural Networks: Clearly explained! ๐Ÿ–ผ Convolutional Neural Networks (CNNs): CNNs belong to the deep learnin
๐Ÿ”ฅ Convolutional Neural Networks: Clearly explained! ๐Ÿ–ผ Convolutional Neural Networks (CNNs): CNNs belong to the deep learning methods with layers like convolutional, pooling, and fully-connected layers that transform input images for recognition. โžก๏ธ Feedforward Process: Data flows from input to output layers. Images undergo convolution operations, ReLu activation, and Max-Pooling to reduce size and enhance translation and scaling invariance. Finally, data is classified through a fully connected network. ๐Ÿ”„ Training Process: The training involves batches, backpropagation, and gradient descent to minimize errors. The weights start with random values and are updated through backpropagation. This cycle repeats until accuracy is achieved. ๐Ÿ“Š Use Cases: CNNs excel in processing images, videos, and audio for tasks like classification, segmentation, and object detection. โš ๏ธ Limitations: While CNNs handle translation and scaling well, they struggle with rotation invariance. Want to learn more about CNNs? Then, check out super-detailed article about it. ๐Ÿ‘‡ https://lnkd.in/eyA_DnYj

๐Ÿงฎ $40/day ร— 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed
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Master Python the Right Way โ€“ Without Procrastination. ๐Ÿโœจ When I first started learning Python, I quickly realized: You can't master a programming language just by reading syntax or watching tutorials. ๐Ÿ“š๐Ÿšซ Real growth happens when you practice, build, and solve problems on your own. ๐Ÿ› ๐Ÿ’ป That's exactly why I've compiled a collection of Python programs โ€“ designed to take you from basics to advanced logic-building. ๐Ÿ“ˆ๐Ÿง  What is this collection about? ๐Ÿค” โœ”๏ธ Beginner to advanced programs with clear explanations โœ”๏ธ Pattern-based exercises to strengthen core fundamentals โœ”๏ธ Problem-solving programs that sharpen logical thinking Why is this important? ๐ŸŒŸ You don't just learn "how to code", you start learning "how to think like a programmer". ๐Ÿง โšก๏ธ This is perfect for: ๐ŸŽฏ โ€ข Preparing for technical interviews ๐Ÿค โ€ข Participating in coding challenges ๐Ÿ† โ€ข Building real-world Python projects ๐Ÿš€ https://t.me/pythonRe

๐Ÿงฎ $40/day ร— 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed
๐Ÿงฎ $40/day ร— 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. ๐Ÿ‘‰ Join for Free, Click here #ad ๐Ÿ“ข InsideAd