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 77 633 名订阅者,在 教育 类别中位列第 2 017,并在 印度 地区排名第 3 821 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 77 633 名订阅者。
根据 13 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 -142,过去 24 小时变化为 -20,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 2.37%。内容发布后 24 小时内通常能获得 1.01% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 843 次浏览,首日通常累积 781 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 14 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。
77 633
订阅者
-2024 小时
-957 天
-14230 天
帖子存档
Digital transformation started a shift to remote work and so did the conferences.
All major events in IT conferencing world now have online block or are fully online.Stay tuned and never miss a major event in IT conferencing world with https://t.me/getconf.
Upcoming online and offline conferences announcements, various themes, ticket pricing and more!
Data Science from Scratch- First Principles with Python.pdf5.57 MB
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Practical_Machine_Learning_and_Image_Processing_For_Facial_Recognition.pdf4.78 MB
wiley_a_practical_introduction_to_computer_vision_with_opencv_2014.pdf12.95 MB
OpenCV_Computer_Vision_with_Python_Learn_to_capture_videos,_manipulate.pdf3.74 MB
Machine_Learning_Step_by_Step_Guide_To_Implement_Machine_Learning.pdf1.58 MB
Machine_Learning_with_Python_Cookbook_Practical_Solutions_from_Preprocessing.pdf4.59 MB
HOLD & EARN
We are providing our community a tremendous amount of interest and high value's simply and easily, We are continually evolving to make ourselves better.
We are 4k+ now 😊
All credits to this person for supporting us a lot and being a part of us.
We wish we get his/her support forever.
SHARE AND SUPPORT US❤️
Hands_On_Machine_Learning_with_Scikit_Learn,_Keras,_and_TensorFlow.pdf72.75 MB
Data Science - John D. Kelleher, Brendan Tierney (The MIT Press, 2018)
Python 3 for Machine Learning - Oswald Campesato (Mercury Learning, 2020)
Artificial Intelligence - An Illustrated History - From Medieval Robots to Neural Networks - Clifford A. Pickover (Sterling, 2019)
