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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 2 406 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 68 475 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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Posts Archive
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Amazing graphical representation of a neural net, never seen anything like it. Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #Pandas http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

NumPy cheat sheet for Data Scientists Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #Panda
NumPy cheat sheet for Data Scientists Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #Pandas http://t.me/codeprogrammer ⭐️

Python Pandas Cheat Sheet Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #Pandas http://t.m
Python Pandas Cheat Sheet Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #Pandas http://t.me/codeprogrammer ⭐️

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Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Repost from Kaggle Data Hub
Coursera has launched a collaboration with the Rating platform to enable students to self-fund using the Rating platform. Students can now access free Coursera scholarships through Rating. Only 600 members Don't miss the opportunity: Click here.

Using Normalization Layers to Improve Deep Learning Models Link: https://machinelearningmastery.com/using-normalization-layer
Using Normalization Layers to Improve Deep Learning Models Link: https://machinelearningmastery.com/using-normalization-layers-to-improve-deep-learning-models/ Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #LLM http://t.me/codeprogrammer ⭐️

How to deal with outliers clearly explained Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI
How to deal with outliers clearly explained Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML #AI #LLM http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.

Repost from Machine Learning
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Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.

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🌟 Embark on a Journey of Discovery and Innovation with @DeepLearning_ai! and @MachineLearning_Programming 🌟 What We Offer: * 🧠 Deep Dives into AI & ML. * 🤖 Latest in Deep Learning. * 📊 Data Science Mastery. * 👁 Computer Vision & Image Processing. * 📚 Exclusive Access to Research Papers. Why Us? * Connect with experts and enthusiasts. * Stay updated, stay ahead. * Empower your knowledge and career in tech. Ready for a deep dive? Click here to explore, learn, and grow with @DeepLearning_ai and @MachineLearning_Programming! Step into the future—today.

Data Pre-Processing of Diabetes Data for reliable machine learning model Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML http://t.me/codeprogrammer ⭐️

Beginner's Guide to Multi-Agents - Slides Is it useful to you ❓ , donate us using ⭐️ 📂 Tags: #DataScience #Python #ML http://t.me/codeprogrammer ⭐️

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Coursera has launched a collaboration with the TOMA platform to enable students to self-fund using the TOMA platform. Students can now access free Coursera scholarships through TOMA. Only 600 members Don't miss the opportunity: Click here.