Machine Learning & Artificial Intelligence | Data Science Free Courses
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Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun
显示更多📈 Telegram 频道 Machine Learning & Artificial Intelligence | Data Science Free Courses 的分析概览
频道 Machine Learning & Artificial Intelligence | Data Science Free Courses (@datasciencefree) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 66 762 名订阅者,在 教育 类别中位列第 2 441,并在 马来西亚 地区排名第 431 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 66 762 名订阅者。
根据 26 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 509,过去 24 小时变化为 13,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 0.81%。内容发布后 24 小时内通常能获得 0.78% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 539 次浏览,首日通常累积 524 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 4。
- 主题关注点: 内容集中在 sellerflash, waybienad, pricing, buybox, buyer 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:
“Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence
Admin: @coderfun”
凭借高频更新(最新数据采集于 27 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。
66 762
订阅者
+1324 小时
+1057 天
+50930 天
帖子存档
Important SQL concepts to become a data analyst
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Important Python concepts to become a data analyst
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Python beginner guide for Data Science .pdf5.74 MB
Complete Roadmap with Free Resources to become a data analyst
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🚦Top 10 Data Science Tools🚦
Here we will examine the top best Data Science tools that are utilized generally by data researchers and analysts. But prior to beginning let us discuss about what is Data Science.
🛰What is Data Science ?
Data science is a quickly developing field that includes the utilization of logical strategies, calculations, and frameworks to extract experiences and information from organized and unstructured data .
🗽Top Data Science Tools that are normally utilized :
1.) Jupyter Notebook : Jupyter Notebook is an open-source web application that permits clients to make and share archives that contain live code, conditions, representations, and narrative text .
2.) Keras : Keras is a famous open-source brain network library utilized in data science. It is known for its usability and adaptability.
Keras provides a range of tools and techniques for dealing with common data science problems, such as overfitting, underfitting, and regularization.
3.) PyTorch : PyTorch is one more famous open-source AI library utilized in information science. PyTorch also offers easy-to-use interfaces for various tasks such as data loading, model building, training, and deployment, making it accessible to beginners as well as experts in the field of machine learning.
4.) TensorFlow : TensorFlow allows data researchers to play out an extensive variety of AI errands, for example, image recognition , natural language processing , and deep learning.
5.) Spark : Spark allows data researchers to perform data processing tasks like data control, investigation, and machine learning , rapidly and effectively.
6.) Hadoop : Hadoop provides a distributed file system (HDFS) and a distributed processing framework (MapReduce) that permits data researchers to handle enormous datasets rapidly.
7.) Tableau : Tableau is a strong data representation tool that permits data researchers to make intuitive dashboards and perceptions. Tableau allows users to combine multiple charts.
8.) SQL : SQL (Structured Query Language) SQL permits data researchers to perform complex queries , join tables, and aggregate data, making it simple to extricate bits of knowledge from enormous datasets. It is a powerful tool for data management, especially for large datasets.
9.) Power BI : Power BI is a business examination tool that conveys experiences and permits clients to make intuitive representations and reports without any problem.
10.) Excel : Excel is a spreadsheet program that broadly utilized in data science. It is an amazing asset for information the board, examination, and visualization .Excel can be used to explore the data by creating pivot tables, histograms, scatterplots, and other types of visualizations.
Data Science Cheatsheet Compiled by Maverick Lin.pdf1.06 MB
20 AI Tools Students should know:
1. http://perplexity.ai → Research Assistant
2. http://hissab.io → Calculate Anything
3. http://otter.ai → Automate Lecture Notes
4. http://stepwisemath.ai → Math Tutor
5. http://scholarcy.com → Article Summarizer
6. http://caktus.ai → Study Tool
7. http://bookai.chat → Chat with Books
8. http://chatdoc.com → Chat with Documents
9. http://textero.ai → Essay Generator
10. http://jenni.ai → Write Research Papers
11. http://tome.app → Presentation Generator
12. http://plaito.ai → Personal Tutor
13. http://heyscience.ai → Scientific Research Assistant
14. http://wisdolia.com → Flashcard Generator
15. http://duolingo.com → Learn a Language
16. http://knowji.com → Learn Vocabulary
17. http://quillbot.com → Grammar Checker
18. http://consensus.app → Evidence-Based Answers
19. http://knewton.com → Adaptive Learning
20. http://grammarly.com → Plagiarism Checker
20 AI Tools Students should know:
1. http://perplexity.ai → Research Assistant
2. http://hissab.io → Calculate Anything
3. http://otter.ai → Automate Lecture Notes
4. http://stepwisemath.ai → Math Tutor
5. http://scholarcy.com → Article Summarizer
6. http://caktus.ai → Study Tool
7. http://bookai.chat → Chat with Books
8. http://chatdoc.com → Chat with Documents
9. http://textero.ai → Essay Generator
10. http://jenni.ai → Write Research Papers
11. http://tome.app → Presentation Generator
12. http://plaito.ai → Personal Tutor
13. http://heyscience.ai → Scientific Research Assistant
14. http://wisdolia.com → Flashcard Generator
15. http://duolingo.com → Learn a Language
16. http://knowji.com → Learn Vocabulary
17. http://quillbot.com → Grammar Checker
18. http://consensus.app → Evidence-Based Answers
19. http://knewton.com → Adaptive Learning
20. http://grammarly.com → Plagiarism Checker
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