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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 68 475 subscribers, ranking 2 403 in the Education category and 4 579 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 475 subscribers.

According to the latest data from 03 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -74 over the last 30 days and by 12 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 1.55% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 789 views. Within the first day, a publication typically gains 1 062 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
  • 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 04 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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68 475
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-7430 days
Posts Archive
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Hey guys, As you all know, the purpose of this community is to share notes and grow together. Hence, today I am sharing with you an app called DevBytes. It keeps you updated about dev and tech news. This brilliant app provides curated, bite-sized updates on the latest tech news/dev content. Whether it’s new frameworks, AI breakthroughs, or cloud services, DevBytes brings the essentials straight to you. If you're tired of information overload and want a smarter way to stay informed, give DevBytes a try. Download here: https://play.google.com/store/apps/details?id=com.candelalabs.devbytes&hl=en-IN It’s time to read less and know more!

Hey guys, As you all know, the purpose of this community is to share notes and grow together. Hence, today I am sharing with you an app called DevBytes. It keeps you updated about dev and tech news. This brilliant app provides curated, bite-sized updates on the latest tech news/dev content. Whether it’s new frameworks, AI breakthroughs, or cloud services, DevBytes brings the essentials straight to you. If you're tired of information overload and want a smarter way to stay informed, give DevBytes a try. Download here: https://play.google.com/store/apps/details?id=com.candelalabs.devbytes&hl=en-IN It’s time to read less and know more!

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Pandas 🐼 to Polars Guide 🔑 Tags: #PYTHON #AI #ML #pandas #Polars https://t.me/CodeProgrammer ✅
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🏳️‍🌈 Python became GitHub's first language! 👨🏻‍💻 In a recent GitHub report, with the expansion of artificial intelligenc
🏳️‍🌈 Python became GitHub's first language! 👨🏻‍💻 In a recent GitHub report, with the expansion of artificial intelligence, Python could finally overtake JavaScript and become the most popular language on GitHub in 2024. This happened after 10 years of JavaScript dominance and it is not very strange. ✔️ Because with the growth of artificial intelligence, developers are turning to Python more than ever, and Python's applications in data science and analytics are increasing every day. You can read the full GitHub report here:👇 ┌ 🐱 Top programming along GitHub ├ 💰 Report ⏪ I also introduced the most important Python libraries for working with data and AI here: 👇 🖥 Data Manipulation & Analysis ▶️ pandas ▶️ Apache Spark ▶️ Polars ▶️ DuckDB 📊 Data Visualization ➡️ matplotlib ➡️ plotly ➡️ seaborn 🖥 Machine & Deep Learning ➡️ TensorFlow ➡️ PyTorch ➡️ Keras ➡️ scikit-learn ➡️ XGBoost ➡️ LightGBM ➡️ Prophet 🌫 NLP & Large Language Models ➡️ Hugging Face Transformers ➡️ LangChain ➡️ LlamaIndex 🔑 Tags: #PYTHON #AI #ML #NLP https://t.me/CodeProgrammer ✅

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Confusion matrix (TP, FP, TN, FN), clearly explained 🔑 Tags: #PYTHON #AI #ML https://t.me/CodeProgrammer ✅

Convert PDF to docx using Python 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️
Convert PDF to docx using Python 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform. Students can now access free Coursera scholarships through MAJOR. Don't miss the opportunity: Click here.

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