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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 94 077 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 94 077 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.

94 077
Subscribers
+3724 hours
+2267 days
+96530 days
Posts Archive
07 - Appendix - Python Crash Course

06 - Deploying in another open-course cloud

05 - Deploy Web App in Heroku Cloud

04 - Face Recognition Project (Integrating HTML Model to Flask App)

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 04

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 03

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 02

03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 01

02 - Image Processing with OpenCV

01 - Introduction - Part 02

01 - Introduction - Part 01

🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes πŸ’° Original Price: $69.99 πŸ“– Create an Face R
🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes πŸ’° Original Price: $69.99
πŸ“– Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy
πŸ”Š Taught By: datascience Anywhere, G Sudheer πŸ“€ Download Full Course πŸ“€ Download All Courses

πŸ’° AI Terms You Must Know
πŸ’° AI Terms You Must Know

⚠️ Exciting News! πŸŽ‰ Thanks to your votes and support, we’re thrilled to announce the launch of our new channel: The Coding S
⚠️ Exciting News! πŸŽ‰ Thanks to your votes and support, we’re thrilled to announce the launch of our new channel: The Coding Space!
This channel is dedicated to helping you master programming and coding, featuring tutorials on Python, Java, C, C++, C#, and more. Whether you’re a beginner or looking to level up your skills, The Coding Space is here to guide you.
🌟 Stay tuned for high-quality content, tips, and resources designed to make you a better programmer! πŸ“± Join us now and start coding smarter! Thank you for being an amazing community! ❀️

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πŸ“¦ Exercise Files

πŸ“±Machine Learning and Artificial intelligence πŸ“±Machine Learning and AI Foundations: Advanced Decision Trees with KNIME

πŸ”… Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🌐 Author: Keith McCormick πŸ”° Level: Advanced ⏰ Du
πŸ”… Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🌐 Author: Keith McCormick πŸ”° Level: Advanced ⏰ Duration: 1h 33m
πŸŒ€ Learn to go beyond the basic decision tree algorithms in KNIME by accessing WEKA, R, and Python-based decision tree and rule induction algorithms from within the KNIME platform.
πŸ“— Topics: Decision Trees, Knime, Machine Learning πŸ“€ Join Machine Learning and Artificial intelligence for more courses