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 77 616 名订阅者,在 教育 类别中位列第 2 020,并在 印度 地区排名第 3 811 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 77 616 名订阅者。
根据 14 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 -147,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 2.41%。内容发布后 24 小时内通常能获得 0.97% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 872 次浏览,首日通常累积 755 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 2。
- 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 15 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。
77 616
订阅者
-2024 小时
-947 天
-14730 天
帖子存档
Additional Resources To Assist Research
https://www.reddit.com/r/MachineLearning/
• https://www.reddit.com/r/deeplearning/
• https://paperswithcode.com/
• https://papers.nips.cc/
• https://icml.cc/
• https://iclr.cc/
• https://www.researchgate.net/
Udacity Machine Learning Nanodegree course
Source :
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Hadoop fundamentals:
https://drive.google.com/drive/folders/1xICarprcfM4CkFR-veb23lCd6rnhV0Xs
Credits @bigdataspecialist
Top 5 websites to learn data science and machine learning absolutely Free
You will also get free Certificate after completing these courses
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https://youtu.be/kpJQTPO638M
Website links are given in the description
Like and share this video with your friends who want to learn data science
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Hello guys, so today I will share 5 amazing websites to learn data science and machine learning for free with Certificate. Do you want the complete video on how to enroll in those free certified courses?
Which of the following is an example of classification?
You should know the difference between image classification and image recognition to answer this. Many people answered wrong maybe because of this confusion
You will prefer YouTube videos in which language?
Perfect resources for beginners
https://www.kaggle.com/kanncaa1/data-sciencetutorial-for-beginners
For free machine learning, data science, ethical hacking and general programming courses join @bigdataspecialist channel.
He also has discord server where you can ask anything about data science/machine learning and programing in general.
https://discord.gg/f4sXD37H9q
Top Machine Learning Case studies
https://nuggetsnetwork.com/blog/Machine-Learning-Case-Studies.html
