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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 67 835 subscribers, ranking 2 428 in the Education category and 5 035 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 67 835 subscribers.

According to the latest data from 15 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 82 over the last 30 days and by 13 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.40%. Within the first 24 hours after publication, content typically collects 1.74% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 983 views. Within the first day, a publication typically gains 1 177 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.

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 16 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.

67 835
Subscribers
+1324 hours
+187 days
+8230 days
Posts Archive
Get started in Data Science with Microsoft's FREE course for beginners. - 10 weeks - 20 lessons - Lecture notes - 100% FREE h
Get started in Data Science with Microsoft's FREE course for beginners. - 10 weeks - 20 lessons - Lecture notes - 100% FREE https://microsoft.github.io/Data-Science-For-Beginners/ https://t.me/DataScienceT

Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatica
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

Repost from AI & ML Papers
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatica
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

Google just dropped Generative AI learning path with 9 courses: πŸ€–: Intro to Generative AI πŸ€–: Large Language Models πŸ€–: Responsible AI πŸ€–: Image Generation πŸ€–: Encoder-Decoder πŸ€–: Attention Mechanism πŸ€–: Transformers and BERT Models πŸ€–: Create Image Captioning Models πŸ€–: Intro to Gen AI Studio 🌐 Link: https://www.cloudskillsboost.google/paths/118 https://t.me/DataScienceT

Repost from AI & ML Papers
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatica
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

Repost from AI & ML Papers
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatica
Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

80+ Jupyter Notebook tutorials on image classification, object detection and image segmentation in various domains πŸ“Œ Agricul
80+ Jupyter Notebook tutorials on image classification, object detection and image segmentation in various domains πŸ“Œ Agriculture and Food πŸ“Œ Medical and Healthcare πŸ“Œ Satellite πŸ“Œ Security and Surveillance πŸ“Œ ADAS and Self Driving Cars πŸ“Œ Retail and E-Commerce πŸ“Œ Wildlife Classification library https://github.com/Tessellate-Imaging/monk_v1 Notebooks - https://github.com/Tessellate-Imaging/monk_v1/tree/master/study_roadmaps/4_image_classification_zoo Detection and Segmentation Library https://github.com/Tessellate-Imaging/ Monk_Object_Detection Notebooks: https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo https://t.me/DataScienceT

Repost from AI & ML Papers
Data Science With Python Workflow Cheat Sheet Creator: business Science Stars ⭐️: 75 Forked By: 38 https://github.com/busines
Data Science With Python Workflow Cheat Sheet Creator: business Science Stars ⭐️: 75 Forked By: 38 https://github.com/business-science/cheatsheets/blob/master/Data_Science_With_Python_Workflow.pdf https://t.me/DataScienceT

How do Transformers work? All the Transformer models mentioned above (GPT, BERT, BART, T5, etc.) have been trained as languag
How do Transformers work? All the Transformer models mentioned above (GPT, BERT, BART, T5, etc.) have been trained as language models. This means they have been trained on large amounts of raw text in a self-supervised fashion. Self-supervised learning is a type of training in which the objective is automatically computed from the inputs of the model. That means that humans are not needed to label the data! This type of model develops a statistical understanding of the language it has been trained on, but it’s not very useful for specific practical tasks. Because of this, the general pretrained model then goes through a process called transfer learning. During this process, the model is fine-tuned in a supervised way β€” that is, using human-annotated labels β€” on a given task πŸ”— Read More

"Stay up-to-date with the latest information and news in the field of Data Science and Data Analysis by following the DataScienceT channel on Telegram #DataScience #Telegram #DataAnalysis #BigData #MachineLearning #ArtificialIntelligence #DataMining #DataVisualization #Statistics #Python #RProgramming #DeepLearning #NeuralNetworks #NaturalLanguageProcessing #BusinessIntelligence #Analytics #DataEngineering #DataManagement #DataQuality #DataGovernance" https://t.me/DataScienceT

πŸ’₯ Learn Programming With Go (Golang), One Game at a Time πŸ“ƒ Learn the fundamentals of programming with Go through a lot of e
πŸ’₯ Learn Programming With Go (Golang), One Game at a Time πŸ“ƒ Learn the fundamentals of programming with Go through a lot of exercises & by building your own games! πŸ“ƒ Taught By: Preslav Mihaylov 🌐 Download Full Course: https://t.me/+xIYRmZxpAog5YTdk ⭐️ Python Courses: https://t.me/Python53

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Speech to Text using Python βœ… More β™₯️β™₯️ = more posts @CodeProgrammer β™₯️
Speech to Text using Python βœ… More β™₯️β™₯️ = more posts @CodeProgrammer β™₯️

Create an Audiobook in Python
Create an Audiobook in Python

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

More β™₯οΈπŸ‘ = more important projects

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Sending_emails_using_python.py0.01 KB

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