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 India5 028 Education2 427...

📈 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 67 810 subscribers, ranking 2 427 in the Education category and 5 028 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 67 810 subscribers.

According to the latest data from 13 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 60 over the last 30 days and by -3 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 4.31%. Within the first 24 hours after publication, content typically collects 1.69% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 926 views. Within the first day, a publication typically gains 1 148 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
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 14 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.

67 810

Subscribers

-324 hours

-77 days

+6030 days

2 926

Post views

~ 1 14824 hours

~ 1 62248 hours

4.31%

Engagement rate

~ 4

Posts per day

Ads index

beta

Posts Archive

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📌 PyTorch Sentiment Analysis - analysis of the emotional component of the text This repository contains different implementations of text analysis in PyTorch: — using a “bag of words” — using a recurrent neural network (RNN) — via convolutional neural network (CNN) - with the help of fashionable transformers 🖥 GitHub

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India's Largest Free Webinar on LLMs especially focused on the recently released LLAMA-3 by Meta. How do you use these models? How can you create apps with them? Join our free workshop on to learn how to use Llama 3 and create apps with it. Register here: https://www.buildfastwithai.com/events/llama-3-deep-dive You can connect with Founder; https://www.linkedin.com/in/satvik-paramkusham/ This Event is especially designed for people interested in the field of AI, ML, GenAI & LLMs.

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Story

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Story

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🟢 Yaoliang Yu, a professor at the School of Computer Science at the University of Waterloo, Canada, has published several free data science courses. These courses include machine learning, data science optimization, linear algebra and deep learning. ✅ The resources of each course include textbooks, assignments, articles and projects during the course. 🔖 Guide to free data science courses at the University of Waterloo: ┌ ➡️ CS794 Fall 2022 └ 🖥 Optimization for Data Science ┌ ➡️ CS480 Fall 2022 └ 🖥 Introduction to Machine Learning ┌ ➡️ CS794 Fall 2021 └ 🖥 Game Theoretic Methods in ML ┌ ➡️ CS480 Fall 2019 └ 🧠 Theory of Deep Learning ┌ ➡️ CS475 Spring 2018 └ 🖥 Computational Linear Algebra 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 😠 More likes 💦 ➡️ more posts ✈️ http://t.me/codeprogrammer ✅

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In 1989, Yann LeCun and his team trained a LeNet 1 CNN, which was able to detect handwriting. They published a video showing how this model can read the numbers that were written manually on a piece of paper, and then the model gives the numbers electronically. The Convolution Neural Network CNN algorithm is considered one of the algorithms that has influenced the world and we find it nowadays in many fields. In general, everything that can be predicted from an image or video is a CNN. Many researchers relied on this algorithm and derived many of the most famous models from it (ResNet, DenseNet, MobileNet, SqueezeNet, VGG) There are many models that come under the name CNN 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 😠 More likes 💦 ➡️ more posts ✈️ http://t.me/codeprogrammer ✅

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🔺 The best GitHub repositories for learning Python ✅ Learn Python for Data Science in 2024 👨🏻‍💻 In the latest data science report 2024 , Python is still the top programming language for data science with 56.7% . Here I have put a list of the best Python repositories for data science , which will improve your coding skills and guide you on the path to data science mastery.💯 1️⃣ Learn Python 3 repo 🖥 A collection of Jupyter notebooks for learning Python. 🐱 GitHub repo link 2️⃣ The Algorithms repo 🖥 All algorithms implemented in Python for training. 🐱 GitHub repo link 3️⃣ Awesome Python repo 🖥 A list of great Python frameworks, libraries, software, and resources. 🐱 GitHub repo link 4️⃣ 100 Days of ML repo 🖥 Learning algorithms and building neural networks without any programming experience. 🐱 GitHub repo link 5️⃣ Cosmic Python book repo 🖥 A book on Python's functional architectural patterns for managing complexity. 🐱 GitHub repo link 6️⃣ A Byte of Python book repo 🖥 If you do not learn Python programming, start with this book. 🐱 GitHub repo link 7️⃣ Python Machine Learning book repo 🖥 Python Machine Learning book code repository. 🐱 GitHub repo link 8️⃣ Repo of interactive interview challenges 🖥 120+ interactive Python coding interview challenges. 🐱 GitHub repo link 9️⃣ Repo of coding problems 🖥 Solutions for various coding/algorithmic problems. 🐱 GitHub repo link 1️⃣ Python Basics repo 🖥 A list of 300 Python interview questions + answer sheet. 🐱 GitHub repo link 1️⃣ Python programming exercises repo 🖥 100+ challenging Python programming exercises. 🐱 GitHub repo link 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️

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