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AI and Machine Learning

AI and Machine Learning

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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

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πŸ“ˆ Analytical overview of Telegram channel AI and Machine Learning

Channel AI and Machine Learning (@machine_learning_courses) in the English language segment is an active participant. Currently, the community unites 94 098 subscribers, ranking 1 547 in the Education category and 3 005 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 94 098 subscribers.

According to the latest data from 26 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 965 over the last 30 days and by 37 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 6.79%. Within the first 24 hours after publication, content typically collects 2.34% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 6 384 views. Within the first day, a publication typically gains 2 203 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 9.
  • Thematic interests: Content is focused on key topics such as learning, llm, linkedin, linux, udemy.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses”

Thanks to the high frequency of updates (latest data received on 27 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.

94 098
Subscribers
+3724 hours
+2267 days
+96530 days
Posts Archive
4 - Part of Speech Tagging and Named Entity Recognition - Part 01

3 - Natural Language Processing Basics - Part 03

3 - Natural Language Processing Basics - Part 02

3 - Natural Language Processing Basics - Part 01

2 - Python Text Basics - Part 02

2 - Python Text Basics - Part 01

1 - Introduction

πŸ”° NLP - Natural Language Processing with Python 🌟 4.5 - 17656 votes πŸ’° Original Price: $74.99 πŸ“– Learn to use Machine Learn
πŸ”° NLP - Natural Language Processing with Python 🌟 4.5 - 17656 votes πŸ’° Original Price: $74.99
πŸ“– Learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing
πŸ”Š Taught By: Jose Portilla, Pierian Training πŸ“€ Download Full Course πŸ“€ Download All Courses

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πŸ’Έ Most Used Machine Learning Algorithms
πŸ’Έ Most Used Machine Learning Algorithms

πŸ’Έ 10 Steps of Machine Learning
πŸ’Έ 10 Steps of Machine Learning

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Imagine a digital assistant that can: πŸ€– Answer any questions 🎨 Create stunning images 🎡 Compose original music βœ‚οΈ Edit pho
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✈️

πŸ“±Machine Learning and Artificial intelligence πŸ“±Artificial Intelligence Foundations: Thinking Machines

πŸ”… Artificial Intelligence Foundations: Thinking Machines 🌐 Author: Doug Rose πŸ”° Level: Beginner ⏰ Duration: 1h 36m πŸŒ€ Learn
πŸ”… Artificial Intelligence Foundations: Thinking Machines 🌐 Author: Doug Rose πŸ”° Level: Beginner ⏰ Duration: 1h 36m
πŸŒ€ Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.
πŸ“— Topics: Machine Learning, Artificial Intelligence πŸ“€ Join Machine Learning and Artificial intelligence for more courses

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πŸ“±Machine Learning and Artificial intelligence πŸ“±Artificial Intelligence Foundations: Neural Networks

πŸ”… Artificial Intelligence Foundations: Neural Networks 🌐 Author: Gwendolyn Stripling πŸ”° Level: Beginner ⏰ Duration: 1h 45m
πŸ”… Artificial Intelligence Foundations: Neural Networks 🌐 Author: Gwendolyn Stripling πŸ”° Level: Beginner ⏰ Duration: 1h 45m
πŸŒ€ Learn the fundamental techniques and principles behind artificial neural networks.
πŸ“— Topics: Neural Networks, Artificial Neural Networks πŸ“€ Join Machine Learning and Artificial intelligence for more courses

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