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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 68 161 subscribers, ranking 2 376 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 68 161 subscribers.

According to the latest data from 05 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 51 over the last 30 days and by -1 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 1.57% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 728 views. Within the first day, a publication typically gains 1 071 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 06 September, 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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68 161
Subscribers
-124 hours
+577 days
+5130 days
Posts Archive
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The time for altcoins is coming soon, many coins are set to give 10-20x returns. 2024 is the year of the bull run, with clear
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https://t.me/DataScienceC For Chinese speakers, the channel will publish books published exclusively in the Chinese language

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In the coming days, we will launch a data science books channel in Chinese. are you from China 🇨🇳?
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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/Python53

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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/Python53

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Google, Harvard, and even OpenAI are offering FREE Generative AI courses (no payment required) 🎓 Here are 8 FREE courses to master AI in 2024: 1. Google AI Courses 5 courses covering generative AI from the ground up https://www.cloudskillsboost.google/paths/118 2. Microsoft AI Course Basics of AI, neural networks, and deep learning https://microsoft.github.io/AI-For-Beginners/ 3. Introduction to AI with Python (Harvard) 7-week course exploring AI concepts and algorithms https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python 4. Prompt Engineering for ChatGPT (Vanderbilt) 6 modules on writing effective prompts for ChatGPT https://www.coursera.org/learn/prompt-engineering 5. ChatGPT Prompt Engineering for Devs (OpenAI & DeepLearning) Best practices and hands-on prompting experience https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ 6. LLMOps (Google Cloud & DeepLearning) Learn the LLMOps pipeline and deploy custom LLMs https://www.deeplearning.ai/short-courses/llmops/ 7. Big Data, AI, and Ethics (UC Davis) 4 modules on big data, IBM's Watson, and AI limitations https://www.coursera.org/learn/big-data-ai-ethics 8. AI Applications and Prompt Engineering (edX) Introductory course on prompt engineering and AI applications https://www.edx.org/learn/computer-programming/edx-ai-applications-and-prompt-engineering 👉 To take Coursera courses for free, click 'Enroll for free' and 'Audit the course'. 〰️〰️〰️〰️〰️〰️〰️〰️〰️ 😘 More likes 💦 more posts 🙈 ✅️ http://t.me/codeprogrammer ✅️

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📌 PyTorch Sentiment Analysis - analysis of the emotional component of the text This repository contains different implementa
📌 PyTorch Sentiment Analysis - analysis of the emotional component of the text This repository contains different implementations of text analysis in PyTorch: — using a “bag of words” — using a recurrent neural network (RNN) — via convolutional neural network (CNN) - with the help of fashionable transformers 🖥 GitHub

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India's Largest Free Webinar on LLMs especially focused on the recently released LLAMA-3 by Meta. How do you use these models
India's Largest Free Webinar on LLMs especially focused on the recently released LLAMA-3 by Meta. How do you use these models? How can you create apps with them? Join our free workshop on to learn how to use Llama 3 and create apps with it. Register here: https://www.buildfastwithai.com/events/llama-3-deep-dive You can connect with Founder; https://www.linkedin.com/in/satvik-paramkusham/ This Event is especially designed for people interested in the field of AI, ML, GenAI & LLMs.

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Only first 100 members Netflix's Movie https://t.me/+vHNPU-V9EepiNTEx