Data Science & Machine Learning
前往频道在 Telegram
Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data
显示更多📈 Telegram 频道 Data Science & Machine Learning 的分析概览
频道 Data Science & Machine Learning (@datasciencefun) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 77 677 名订阅者,在 教育 类别中位列第 2 014,并在 印度 地区排名第 3 822 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 77 677 名订阅者。
根据 11 十一月, 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 -97,过去 24 小时变化为 -12,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 2.59%。内容发布后 24 小时内通常能获得 0.99% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 2 009 次浏览,首日通常累积 767 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 3。
- 主题关注点: 内容集中在 learning, accuracy, distribution, panda, dataset 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:
“Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free
For collaborations: @love_data”
凭借高频更新(最新数据采集于 12 十一月, 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。
77 677
订阅者
-1224 小时
-647 天
-9730 天
帖子存档
Probabilistic Machine Learning for Finance and Investing
Deepak Kanungo, 2022
Repost from Jobs | Internships | Placement | Interviews
American Express is hiring
Position: Data Science Analyst
👉 Apply: https://aexp.eightfold.ai/careers/job/13347327
👍 All the best.
Hello Guys!
This Platform Having Almost all Coding Courses For free! ‼️
Get Data scientists and Full stack development courses ❤
Sign up & Grab it 👇
https://bit.ly/3xgAzAT
Which of the following command isn't used in pandas?
Harvard CS109A #DataScience course materials — huge collection free & open!
1. Lecture notes
2. R code, #Python notebooks
3. Lab material
4. Advanced sections
and more ...
https://harvard-iacs.github.io/2019-CS109A/pages/materials.html
Practical Computer Vision Applications Using Deep Learning with CNNs
Ahmed Fawzy Gad, 2019
NVIDIA GTC is the most important conference for the era of AI and the metaverse. Join us online as we explore the innovations that will impact your life’s work with the power of AI, computer graphics, data science, and more.
The conference will run from September 19 -22, it is fully virtual and free to attend. Let innovation inspire your next idea, or solve your biggest challenge. With talks delivered by pioneers in their fields to relatable use cases and Deep Learning Institue training where you can gain NVIDIA certification, to Watch Parties where you can engage with your peers, you can be part of what comes next at GTC.
Register today.
Artificial Intelligence and Machine Learning for EDGE Computing
Rajiv Pandey, 2022
