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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
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+724 hours
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-7530 days
Posts Archive
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🔍 Join us for an in-depth exploration of GPT-4o, the latest advancement in OpenAI’s language models. ✔️ This event is design
🔍 Join us for an in-depth exploration of GPT-4o, the latest advancement in OpenAI’s language models. ✔️ This event is designed to provide you with valuable insights and practical knowledge to enhance your AI skill. In this session, we will guide you through: 1️⃣ Introduction to GPT-4o. 2️⃣ Utilizing GPT-4o with APIs. 3️⃣ Exploring GPT-4o's Vision Capabilities. 4️⃣ Building AI Applications with GPT-4o. 😀 Register Here for Free: https://www.buildfastwithai.com/events/gpt-4o-deep-dive 🌐 Join Our WhatsApp Group ✅️: https://chat.whatsapp.com/BmE9HoWQ3irKt9gG8LshGX

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🤖 Mistral has released a neural network that knows more than 80 programming languages. Codestral surpasses such giants as Ll
🤖 Mistral has released a neural network that knows more than 80 programming languages. Codestral surpasses such giants as Llama-3 and CodeLlama, as well as... GPT-4o, and yet weighs three times less! This model knows how to write and improve code, suggests the best solutions to problems and even knows design patterns. You can connect it to your projects via API or just use it in VS Code. For olds: the neural network even knows Fortran and COBOL. Use it here or directly in your browser here.

Python Machine Learning Notebooks (Tutorial style) 📓 Link: https://machine-learning-with-python.readthedocs.io/en/latest/
Python Machine Learning Notebooks (Tutorial style) 📓 Link: https://machine-learning-with-python.readthedocs.io/en/latest/

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