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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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πŸ“ˆ 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 67 816 subscribers, ranking 2 417 in the Education category and 5 033 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 67 816 subscribers.

According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 49 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.61%. Within the first 24 hours after publication, content typically collects 2.40% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 770 views. Within the first day, a publication typically gains 1 628 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
  • Thematic interests: Content is focused on key topics such as insidead, learning, degree, evaluation, algorithm.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn 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 11 June, 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.

67 816
Subscribers
-1024 hours
-17 days
+4930 days
Posts Archive
10 Must-Know Python Libraries for LLMs in 2025 Large language models (LLMs) are changing the way we think about AI. They help with #chatbots, text generation, and search tools, among other natural language processing tasks and beyond. To work with #LLMs, you need the right #Python libraries. In this article, we explore 10 of the Python libraries every developer should know in 2025. Read and learn: https://machinelearningmastery.com/10-must-know-python-libraries-for-llms-in-2025/ https://t.me/CodeProgrammer βœ…

πŸ”₯ Transformers Laid Out πŸ“Œ Guide
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πŸ”₯ Transformers Laid Out πŸ“Œ Guide

😍 New to AI agents? This free 10-part course on #GitHub will guide you from concept to #code as you start building #AI #agen
😍 New to AI agents? This free 10-part course on #GitHub will guide you from concept to #code as you start building #AI #agents: ⚑ Link: msft.it/6013qZ7Zb
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"Introduction to Python Programming" This 415-pages #FREE book is perfect if you are starting your #Python journey. Download
"Introduction to Python Programming" This 415-pages #FREE book is perfect if you are starting your #Python journey. Download book: https://t.co/aMLeAQre6r
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πŸ”– The book that paved the way for me to "data science"! πŸ‘¨πŸ»β€πŸ’» "Where do I start now?" This was the first and biggest quest
πŸ”– The book that paved the way for me to "data science"! πŸ‘¨πŸ»β€πŸ’» "Where do I start now?" This was the first and biggest question I faced when I started my Data Science learning journey! βͺ I was really overwhelmed by the large number of scattered sources, long courses, and specialized books full of heavy terminology. I didn't know how to start and move forward in this direction... βœ”οΈ But the book Intro to Data Science with Python changed everything for me and gave me a new perspective! ✏️ This book is a complete guide to starting from scratch and is great for both beginners and professionals in this field!! From coding with Python to working with data, visualization, and even AI tools, it explains everything in the simplest and most practical way possible. πŸ’Έ A great start for anyone looking to learn data science with Python!πŸ‘‡ β”Œ πŸ³οΈβ€πŸŒˆ Intro to Data Science with Python β”œ πŸ“„ E-book β”” 🐱 GitHub-Repos
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Machine Learning from Scratch by Danny Friedman This book is for readers looking to learn new machine learning algorithms or
Machine Learning from Scratch by Danny Friedman This book is for readers looking to learn new machine learning algorithms or understand algorithms at a deeper level. Specifically, it is intended for readers interested in seeing machine learning algorithms derived from start to finish. Seeing these derivations might help a reader previously unfamiliar with common algorithms understand how they work intuitively. Or, seeing these derivations might help a reader experienced in modeling understand how different algorithms create the models they do and the advantages and disadvantages of each one. This book will be most helpful for those with practice in basic modeling. It does not review best practicesβ€”such as feature engineering or balancing response variablesβ€”or discuss in depth when certain models are more appropriate than others. Instead, it focuses on the elements of those models. 🌟 Link: https://dafriedman97.github.io/mlbook/content/introduction.html
#DataScience #MachineLearning #CheatSheet #stats #analytics #ML #IA #AI #programming #code #rstats #python #deeplearning #DL #CNN #Keras #R https://t.me/CodeProgrammer βœ…

Python Pandas Interview Questions Answers Cheatsheet.pdf2.32 MB

⚑ Special Offer for 3 Days: Join our exclusive (paid) channel for a lifetime and get your own bot to download over a million books with daily updates, and a special bot to download more than 80 million scientific articles, all for just $30, a one-time payment only. The paid channel includes a vast encyclopedia of the most famous books and training courses in all fields of data science and programming languages. We only accept payments via PayPal and cryptocurrencies. Contact: t.me/HusseinSheikho βœ…

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Top_100_Machine_Learning_Interview_Questions_Answers_Cheatshee.pdf5.83 MB

Top 100 Machine Learning Interview Questions & Answers Cheatshee πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Top 100 Machine Learning Interview Questions & Answers Cheatshee πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

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πŸ’ Machine learning πŸ”Έ Deep learning πŸ’ LLM models https://t.me/Machine_learn