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

Network:Machine Learning with Python India4 752 Education2 379...

📈 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 68 151 subscribers, ranking 2 379 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 68 151 subscribers.

According to the latest data from 01 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 84 over the last 30 days and by 7 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 4.17%. Within the first 24 hours after publication, content typically collects 1.54% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 845 views. Within the first day, a publication typically gains 1 052 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 02 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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68 151

Subscribers

+724 hours

+247 days

+8430 days

2 845

Post views

~ 1 05224 hours

~ 1 12448 hours

4.17%

Engagement rate

~ 2

Posts per day

Ads index

beta

Posts Archive

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Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post. https://t.me/DataScienceN

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We have launched a support and donation campaign for our channel in order to improve the content and enrich it with more resources. You can donate to our channel using stars through this post. Thanks to everyone who contributes to improving our content, the benefit will be extended to all members

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68 151

Repost from Machine Learning

#MachineLearning Systems — Principles and Practices of Engineering Artificially Intelligent Systems: https://mlsysbook.ai/ open-source textbook focuses on how to design and implement AI systems effectively

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Linear Algebra The 2nd best book on linear algebra with ~1000 practice problems. A MUST for AI & Machine Learning. Completely FREE. Download it: https://www.cs.ox.ac.uk/files/12921/book.pdf

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Exercises in Machine Learning This book contains 75+ exercises Download, read, and practice: arxiv.org/pdf/2206.13446 GitHub Repo: https://github.com/michaelgutmann/ml-pen-and-paper-exercises

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🙏💸 500$ FOR THE FIRST 500 WHO JOIN THE CHANNEL! 🙏💸 Join our channel today for free! Tomorrow it will cost 500$! https://t.me/+vhF2zNz5GBw3NTU1 You can join at this link! 👆👇 https://t.me/+vhF2zNz5GBw3NTU1

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Repost from Machine Learning with Python

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_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

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Find these FREE AI Courses here 👇 https://www.mltut.com/best-resources-to-learn-artificial-intelligence/

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📄 "Pandas Introduction to Advanced" booklet 👨🏻‍💻 You can't attend a #datascience interview and not be asked about Pandas! But you don't have to memorize all its methods and functions! With this booklet, you'll learn everything you need. ✔️ One of the most useful and interesting combinations is using #Pandas with #AWS Lambda, which can be very useful in real projects.

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👨🏻‍💻 One of the most popular GitHub repositories for "learning and using algorithms in Python" is The Algorithms - Python repo with 196K stars. ✏️ It has a lot of organized and categorized code that you can use to find, read, and run different algorithms. Everything you can think of is here; from simple algorithms like sorting to advanced algorithms for machine learning, artificial intelligence, neural networks, and more. ✅ Why should we use it? 🔢 For learning: If you're looking to learn algorithms in action, this is great. 🔢 For practice: You can take the codes, run them, and modify them to better understand. 🔢 For projects : You can even use the codes here in real-life or academic projects. 🔢 For interviews: If you're preparing for data science interviews, this is full of practical algorithms. ┌ 🏳️‍🌈 The Algorithms - Python └ 🐱 GitHub-Repos

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course lecture on building Transformers from first principles: https://www.dropbox.com/scl/fi/jhfgy8dnnvy5qq385tnms/lectureattentionneuralnetworks.pdf?rlkey=fddnkonsez76mf8bzider3hrv&dl=0 The #PyTorch notebooks also demonstrate how to implement #Transformers from scratch: https://github.com/xbresson/CS52422025/tree/main/labslecture07

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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 ✅

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🔥 Transformers Laid Out 📌 Guide

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https://t.me/addlist/8_rRW2scgfRhOTc0 Updates

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😍 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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More likes please

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🔍 Free Data Analytics Courses by Microsoft 1. Get started with microsoft data analytics https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft/ 2. Introduction to version control with git https://learn.microsoft.com/en-us/training/paths/intro-to-vc-git/ 3. Microsoft azure ai fundamentals https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/

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"Introduction to Python Programming" This 415-pages #FREE book is perfect if you are starting your #Python journey. Download book: https://t.co/aMLeAQre6r