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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 68 475 subscribers, ranking 2 406 in the Education category and 4 586 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 475 subscribers.

According to the latest data from 03 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -74 over the last 30 days and by 12 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.07%. 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 2 789 views. Within the first day, a publication typically gains 1 062 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
  • 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 November, 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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68 475
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-827 days
-7430 days
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photo content

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Linear Regression explained
Linear Regression explained

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Generative AI meets pandas! PandasAI is a Python library that let's you interact with your dataframes in natural language. Ge
Generative AI meets pandas! PandasAI is a Python library that let's you interact with your dataframes in natural language. Generate reports, create plots and do RAG over multiple dataframes! Github link: https://github.com/Sinaptik-AI/pandas-ai

The Data Science and Python channel is for researchers and advanced programmers https://t.me/DataScienceT

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A promising digital wallet will distribute $40 for free to every user who creates an account on this wallet Terms of creating an account: Subscribe to their channel only. https://t.me/TronKeeperBot/app?startapp=418788114

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250 Coursera FREE Courses [Data Science, Machine Learning, Python] 2024
250 Coursera FREE Courses [Data Science, Machine Learning, Python] 2024

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🐼 Shifting time series with periods
🐼 Shifting time series with periods

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🎁 Your balance is credited $4,000 , the owner of the channel wants to contact you! Dear subscriber, we would like to thank y
🎁 Your balance is credited $4,000 , the owner of the channel wants to contact you! Dear subscriber, we would like to thank you very much for supporting our channel, and as a token of our gratitude we would like to provide you with free access to Lisa's investor channel, with the help of which you can earn today T.me/Lisainvestor Be sure to take advantage of our gift, admission is free, don't miss the opportunity, change your life for the better. You can follow the link : https://t.me/+j4-NLonPlWJmZDVh