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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 67 813 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 67 813 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.

67 813
Subscribers
-324 hours
-77 days
+6030 days
Posts Archive
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It is unfortunate that there are more than 40 thousand subscribers with very little interaction that did not reach ten interactions. Are our posts worthless?

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Repost from Machine Learning
Are you fluent in Python and want to evaluate your skills? 🤔 Do you want to learn Python? 🤗 Are you interested in learning through questions and answers? 😵 Do you want to receive the explanation of the question?💡 🟢 https://t.me/DataScienceQ 👍

Learn PyTorch in 4 steps 👨🏻‍💻 With support for more than 200 different mathematical operations, PyTorch is one of the most powerful open source and computational libraries based on Python for machine learning. You don't need to look for different sources to learn this popular library, but the website of this library covers more than what you need.💯 2️⃣ Here, I will teach you how to learn PyTorch from scratch in 4 steps. 👌🏼 1️⃣ Text tutorial: If you don't know anything about Python, you should start learning from here. ⬅️ Topics: tensors, datasets and DataLoader, model building, optimization loop, saving, loading and using the model. 📄 PyTorch Basics 📎 Link: Learn the Basics 2️⃣ Video training: This section is very useful for those who prefer video content. ⬅️ Topics: introduction, tensor construction and model construction with pytorch. 📄 Introduction to PyTorch 📎 Link: Introduction to PyTorch 3️⃣ Examining examples: By viewing different examples, you will review what you have learned so far. 📄 Learning Python by example 📎 Link: Learning PyTorch with Examples 4️⃣ Coding: This step is vital! Your theoretical knowledge is worthless without coding! The Keras website is full of sample code that is great for getting started. 📄 Start coding 📎 Link: keras.io

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This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
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