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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 68 147 subscribers, ranking 2 377 in the Education category and 4 752 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 147 subscribers.

According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 47 over the last 30 days and by -4 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.40%. 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 2 315 views. Within the first day, a publication typically gains 1 056 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
  • 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 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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👩‍💻 Python Developer Roadmap is a guide for aspiring Python developers that helps structure and plan their learning and car
👩‍💻 Python Developer Roadmap is a guide for aspiring Python developers that helps structure and plan their learning and career development! 🌟 It provides a step-by-step plan that covers key aspects of Python development, from basic knowledge and syntax to more advanced topics such as databases, web development, testing, machine learning, and microservices development. 🔐 License: MIT 🖥 Github https://t.me/CodeProgrammer

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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Python Network Programming Cheat Sheet 🖥 #MachineLearning #DeepLearning #BigData #Datascience #ML #Pandas #DataVisualization
Python Network Programming Cheat Sheet 🖥 #MachineLearning #DeepLearning #BigData #Datascience #ML #Pandas #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #LLMs #AIagents http://t.me/codeprogrammer

Regression & Classification Loss Functions #MachineLearning #DeepLearning #BigData #Datascience #ML #Pandas #DataVisualizatio
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🐼 20 of the most used Pandas + PDF functions 👨🏻‍💻 The first time I used Pandas, I was supposed to quickly clean and organ
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