DataSpoof
前往频道在 Telegram
Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data
显示更多📈 Telegram 频道 DataSpoof 的分析概览
频道 DataSpoof (@dataspoof) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 16 133 名订阅者,在 教育 类别中位列第 12 548,并在 印度 地区排名第 26 541 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 16 133 名订阅者。
根据 22 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 -144,过去 24 小时变化为 -5,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 7.89%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 0 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 0。
- 主题关注点: 内容集中在 api, llm, pipeline, +9183182, engineer 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
https://dataspoof4081.graphy.com/membership
Artificial Intelligence
Machine Learning
Data Science
Deep learning
Computer vision
NLP
Big data”
凭借高频更新(最新数据采集于 23 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。
16 133
订阅者
-524 小时
-277 天
-14430 天
帖子存档
16 133
500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
👉https://t.me/dataspoof
16 133
Artificial Intelligence News Day #1
IBM has announced Project CodeNet, a large dataset that aims to help teach AI how to understand and even write code.
Project CodeNet was announced at IBM’s Think conference this week and claims to be the largest open-source dataset for code (approximately 10 times the size of the closest.)
CodeNet features 500 million lines of code, 14 million examples, and spans 55 programming languages including Python, C++, Java, Go, COBOL, Pascal, and more.
https://artificialintelligence-news.com/2021/05/11/ibm-project-codenet-wants-teach-ai-how-code/
16 133
Make sure to follow us on Instagram to learn machine learning and data science in form of carousel posts
www.instagram.com/dataspoof
16 133
How to build machine learning pipeline
In this free webinar, we talk about how to do any machine learning project.
With proper steps and templates.
Whether you are solving regression or classification or clustering algorithm.
Date- 5th May 2021
Platform- Google meet
Timing 4pm today
https://meet.google.com/ook-ueex-dqc
16 133
In this free webinar, we talk about how to do any machine learning project.
With proper steps and templates.
Whether you are solving regression or classification or clustering algorithm.
Date- 5th May 2021
Platform- Google meet
Register for free
https://pages.razorpay.com/pl_H51K8pI058uRq9/view
16 133
We have uploaded the video on YouTube
https://youtu.be/gvzUPgpJlqM
You can subscribe to our channel soon we will upload all tutorials on machine learning and many more.
16 133
Payment screenshot today and last works while working as machine learning engineer on freelancer.
Learn more
Min 21rs registration fees
https://rzp.io/l/gq5UUXKU
16 133
I request everyone to like this post. So you can help each other. Instead of relying on company jobs.
Become an independent freelancer.
And make money from home.
You don't have to worry about corona
#everyone
Our target is to reach this post to maximum people so we can help each other. Especially for freshman students
16 133
Deep learning tutorials in blog format.
https://www.pyimagesearch.com/category/keras-and-tensorflow/
16 133
Top 10 Data Science Roles
1. Data Scientist
2. Decision Maker
3. Analyst
4. ETL Engineer
5. ML Engineer
6. Data Engineer
7. Analytics Manager
8. Developer
9. Researcher
10. BI Analyst
Comment below which one you are interested.
Follow us on Instagram for more short notes slide.
www.instagram.com/dataspoof
16 133
These are all the thing that you get in this giveaway.
1- Artificial intelligence handwritten notes
2- Machine learning and deep learning handwritten notes
3- Best ebooks for Machine learning, deep learning, Natural Language Processing and Computer vision
4- All the Cheatsheets related to artificialintelligence.
5- 1000+ interview questions.
If you haven't participated in last Giveaways. You can fill the form down below.
https://forms.gle/C7isVznuuRpHba8j6
Ignore if already filled.
现已上线!2025 年 Telegram 研究 — 年度关键洞察 
