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Machine Learning & Artificial Intelligence | Data Science Free Courses

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

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๐Ÿ“ˆ Analytical overview of Telegram channel Machine Learning & Artificial Intelligence | Data Science Free Courses

Channel Machine Learning & Artificial Intelligence | Data Science Free Courses (@datasciencefree) in the English language segment is an active participant. Currently, the community unites 66 762 subscribers, ranking 2 441 in the Education category and 431 in the Malaysia region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 66 762 subscribers.

According to the latest data from 26 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 509 over the last 30 days and by 13 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 0.81%. Within the first 24 hours after publication, content typically collects 0.78% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 539 views. Within the first day, a publication typically gains 524 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
  • Thematic interests: Content is focused on key topics such as sellerflash, waybienad, pricing, buybox, buyer.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œPerfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfunโ€

Thanks to the high frequency of updates (latest data received on 27 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

66 762
Subscribers
+1324 hours
+1057 days
+50930 days
Posts Archive
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SQL Basics For Beginners โœ…

Learning Python Network Programming ๐Ÿ“š book
Learning Python Network Programming ๐Ÿ“š book

Unleash the Power of Crypto. Looking to dive into the captivating world of crypto currencies, Expert Analysis, Educational Co
Unleash the Power of Crypto. Looking to dive into the captivating world of crypto currencies, Expert Analysis, Educational Contents, Profitable Opportunities, Real-time updates and Engaging community, Join CoinGapeSignals Today. Tap๐Ÿ‘‰: https://t.me/CoinGapeSignals1 Tap๐Ÿ‘‰: https://t.me/CoinGapeSignals1 Tap๐Ÿ‘‰: https://t.me/CoinGapeSignals1

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Python beginner guide for Data Science .pdf5.74 MB

"Master in-demand skills @โ‚น99/year Don't miss out on this once-in-a-lifetime opportunity. ๐Ÿ”ฅ Get access to 150+ Top Certifica
"Master in-demand skills @โ‚น99/year Don't miss out on this once-in-a-lifetime opportunity. ๐Ÿ”ฅ Get access to 150+ Top Certification Courses and Job @ โ‚น99/year ๐Ÿค‘ Apply here: https://bit.ly/3OGOVE8 ๐Ÿ’ฏ Python ๐Ÿ’ฏ Django ๐Ÿ’ฏ Web Development ๐Ÿ’ฏ Artificial Intelligence ๐Ÿ’ฏ Machine Learning ๐Ÿ’ฏ AWS ๐Ÿ’ฏ Interview Preparation & more premium courses ...and many more Offer ending soonโŒ›"

Data scientist salary data by industry
Data scientist salary data by industry

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๐ŸšฆTop 10 Data Science Tools๐Ÿšฆ 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. ๐Ÿ›ฐWhat 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 . ๐Ÿ—ฝTop Data Science Tools that are normally utilized : 1.) Jupyter Notebookย : 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.) Kerasย : 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.) PyTorchย : 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.) TensorFlowย : TensorFlow allows data researchers to play out an extensive variety of AI errands, for example, image recognition , natural language processing , and deep learning. 5.) Sparkย : Spark allows data researchers to perform data processing tasks like data control, investigation, and machine learning , rapidly and effectively. 6.) Hadoopย : Hadoop provides a distributed file system (HDFS) and a distributed processing framework (MapReduce) that permits data researchers to handle enormous datasets rapidly. 7.) Tableauย : 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.) SQLย : 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 BIย : Power BI is a business examination tool that conveys experiences and permits clients to make intuitive representations and reports without any problem. 10.) Excelย : 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 โ†’ Research Assistant 2. http://hissab.io โ†’ Calculate Anything 3. http://otter.ai โ†’ Automate Lecture Notes 4. http://stepwisemath.ai โ†’ Math Tutor 5. http://scholarcy.com โ†’ Article Summarizer 6. http://caktus.ai โ†’ Study Tool 7. http://bookai.chat โ†’ Chat with Books 8. http://chatdoc.com โ†’ Chat with Documents 9. http://textero.ai โ†’ Essay Generator 10. http://jenni.ai โ†’ Write Research Papers 11. http://tome.app โ†’ Presentation Generator 12. http://plaito.ai โ†’ Personal Tutor 13. http://heyscience.ai โ†’ Scientific Research Assistant 14. http://wisdolia.com โ†’ Flashcard Generator 15. http://duolingo.com โ†’ Learn a Language 16. http://knowji.com โ†’ Learn Vocabulary 17. http://quillbot.com โ†’ Grammar Checker 18. http://consensus.app โ†’ Evidence-Based Answers 19. http://knewton.com โ†’ Adaptive Learning 20. http://grammarly.com โ†’ Plagiarism Checker

20 AI Tools Students should know: 1. http://perplexity.ai โ†’ Research Assistant 2. http://hissab.io โ†’ Calculate Anything 3. http://otter.ai โ†’ Automate Lecture Notes 4. http://stepwisemath.ai โ†’ Math Tutor 5. http://scholarcy.com โ†’ Article Summarizer 6. http://caktus.ai โ†’ Study Tool 7. http://bookai.chat โ†’ Chat with Books 8. http://chatdoc.com โ†’ Chat with Documents 9. http://textero.ai โ†’ Essay Generator 10. http://jenni.ai โ†’ Write Research Papers 11. http://tome.app โ†’ Presentation Generator 12. http://plaito.ai โ†’ Personal Tutor 13. http://heyscience.ai โ†’ Scientific Research Assistant 14. http://wisdolia.com โ†’ Flashcard Generator 15. http://duolingo.com โ†’ Learn a Language 16. http://knowji.com โ†’ Learn Vocabulary 17. http://quillbot.com โ†’ Grammar Checker 18. http://consensus.app โ†’ Evidence-Based Answers 19. http://knewton.com โ†’ Adaptive Learning 20. http://grammarly.com โ†’ Plagiarism Checker

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Rubrik hiring Software Engineering Winter Intern Batch - 2025 / 2024 Stipend: 1.5 Lakhs/month Apply - https://bit.ly/Getjobss
Rubrik hiring Software Engineering Winter Intern Batch - 2025 / 2024 Stipend: 1.5 Lakhs/month Apply - https://bit.ly/Getjobss