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AI and Machine Learning

AI and Machine Learning

前往频道在 Telegram

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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📈 Telegram 频道 AI and Machine Learning 的分析概览

频道 AI and Machine Learning (@machine_learning_courses) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 94 085 名订阅者,在 教育 类别中位列第 1 556,并在 印度 地区排名第 3 013

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 94 085 名订阅者。

根据 25 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 981,过去 24 小时变化为 47,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 6.77%。内容发布后 24 小时内通常能获得 2.34% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 6 370 次浏览,首日通常累积 2 203 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 9
  • 主题关注点: 内容集中在 learning, llm, linkedin, linux, udemy 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

凭借高频更新(最新数据采集于 26 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

94 085
订阅者
+4724 小时
+1877
+98130
帖子存档
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 💰 Original Price: $69.99 📖 Create an Face R
🧠 Face Recognition with Machine Learning + Deploy Flask App 🌟 4.4 - 459 votes 💰 Original Price: $69.99
📖 Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy
🔊 Taught By: datascience Anywhere, G Sudheer 📤 Download Full Course 📤 Download All Courses

💰 AI Terms You Must Know
💰 AI Terms You Must Know

⚠️ Exciting News! 🎉 Thanks to your votes and support, we’re thrilled to announce the launch of our new channel: The Coding S
⚠️ Exciting News! 🎉 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! 📱 Join us now and start coding smarter! Thank you for being an amazing community! ❤️

AI is learning very fast.

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📦 Exercise Files

📱Machine Learning and Artificial intelligence 📱Machine Learning and AI Foundations: Advanced Decision Trees with KNIME

🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🌐 Author: Keith McCormick 🔰 Level: Advanced ⏰ Du
🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME 🌐 Author: Keith McCormick 🔰 Level: AdvancedDuration: 1h 33m
🌀 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.
📗 Topics: Decision Trees, Knime, Machine Learning 📤 Join Machine Learning and Artificial intelligence for more courses