现已上线！2025 年 Telegram 研究 — 年度关键洞察 
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
显示更多📈 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 94 073 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 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 94 073 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。
94 073
订阅者
+4724 小时
+1877 天
+98130 天
帖子存档
94 073
+1
AI Agents for eCom Summit goes Live from March 11 - 10:00 AM Pacific Time.
It's a 4-day free online event with 40+ Top Speakers sharing their knowledge and expertise on AI and E-Commerce.
Register here: https://www.ecomagents.com
And join our Channel for Livestream: https://tglink.io/5077ca5fe41f
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📱Artificial intelligence
📱Python for Data Science and Machine Learning Essential Training Part 2
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📂 Full description
If you are a working professional who wants to use business data to make improved decisions through predictive analytics, this course can help you. Lillian Pierson—engineer, CEO, and the head of product at Data-Mania—guides you through a robust combination of basic data science coding experience, demonstrations, challenges, solutions, and exercises that you can quickly apply in customized data analyses and analytics projects. Learn best practices for data cleaning, data visualization, data analysis, and Python programming.
By the end of the course, you will be able to use Python to:
Clean, reshape, reformat, and describe data
Generate data visualizations for data presentation and visual exploratory analysis
Identify and remove outliers
Perform simple data analysis
Source, scape, and analyze data from the internet
Generate collaborative analytics assets using Plot.ly
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🔅 Python for Data Science and Machine Learning Essential Training Part 2
🌐 Author: Lillian Pierson, P.E.
🔰 Level: Intermediate
⏰ Duration: 5h 16m
🌀 In the second half of this two-part course, explore the essentials of using Python for data science and machine learning.📗 Topics: Data Science, Machine Learning, Python 📤 Join Artificial intelligence for more courses
