Telegram RegisterThe public register of Telegram
Telegram profile photo for Data Science & Machine Learning

Channel

Data Science & Machine Learning

@datasciencefun

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

77,580subscribers

+522 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001167759653
TypeChannel
Username@datasciencefun
DescriptionJoin 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
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/datasciencefun

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 65% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

77,05877,58077,3196 August 2026 — 77,058 subscribers7 August 2026 — 77,064 subscribers8 August 2026 — 77,100 subscribers9 August 2026 — 77,110 subscribers10 August 2026 — 77,095 subscribers11 August 2026 — 77,112 subscribers12 August 2026 — 77,113 subscribers13 August 2026 — 77,142 subscribers14 August 2026 — 77,159 subscribers15 August 2026 — 77,165 subscribers17 August 2026 — 77,186 subscribers18 August 2026 — 77,180 subscribers19 August 2026 — 77,255 subscribers20 August 2026 — 77,268 subscribers21 August 2026 — 77,275 subscribers22 August 2026 — 77,305 subscribers24 August 2026 — 77,294 subscribers25 August 2026 — 77,269 subscribers26 August 2026 — 77,277 subscribers27 August 2026 — 77,279 subscribers28 August 2026 — 77,281 subscribers29 August 2026 — 77,279 subscribers30 August 2026 — 77,309 subscribers31 August 2026 — 77,338 subscribers1 September 2026 — 77,359 subscribers2 September 2026 — 77,360 subscribers4 September 2026 — 77,380 subscribers6 September 2026 — 77,382 subscribers9 September 2026 — 77,379 subscribers12 September 2026 — 77,384 subscribers15 September 2026 — 77,427 subscribers17 September 2026 — 77,458 subscribers25 September 2026 — 77,580 subscribers6 August 202625 September 2026
33 measurements spanning 50 days, net +522. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 76,980–77,658 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
25 Sept 2026, 18:5777,580+122
17 Sept 2026, 11:5877,458+31
15 Sept 2026, 13:4177,427+43
12 Sept 2026, 00:1877,384+5
9 Sept 2026, 15:3877,379-3
6 Sept 2026, 10:3777,382+2
4 Sept 2026, 02:3877,380+20
2 Sept 2026, 15:5377,360+1
1 Sept 2026, 18:1477,359+21
31 Aug 2026, 19:2877,338+29
30 Aug 2026, 17:2777,309+30
29 Aug 2026, 14:2677,279-2
28 Aug 2026, 15:1177,281+2
27 Aug 2026, 13:3577,279+2
26 Aug 2026, 17:0477,277+8
25 Aug 2026, 14:0277,269-25
24 Aug 2026, 12:2577,294-11
22 Aug 2026, 18:5577,305+30
21 Aug 2026, 07:2777,275+7
20 Aug 2026, 08:0277,268first reading

Engagement

164 posts held, back to 31 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 106 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.86%
avg views ÷ 77,580 subscribers
Avg views / post
1,440
74 posts measured
Reaction rate
0.21%
reactions ÷ views · ER floor
Posts in window
74
of 164 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 73 of 74 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 September 2026
Posts held164 (31 July 2026 – 27 September 2026)
Views total106,927
Reactions total223
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 13:23 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
902
Videos
1
Links
822

Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
30s
Average length
30s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

513 reactions across 152 posts, in 9 distinct kinds. The most used accounts for 91.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤47091.6%
👍183.51%
🔥81.56%
🎉50.975%
👏40.78%
😁30.585%
🤩20.39%
🥰20.39%
🙏10.195%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 154 of the 164 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 513 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 164 most recent posts we hold, published 31 July 2026 to 27 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

27 Sept 2026, 05:45 UTC467 views2 reactionsread 27 September 2026
Photo

𝗟𝗲𝘃𝗲𝗹 𝗨𝗽 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝗚𝗮𝗺𝗲-𝗖𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀! ​ Looking to learn practical, in-demand skills? These courses cover Generative AI, Cybersecurity, AI tools and Digital Marketing. 💫 Learn at your own pace ⚡Build career-relevant skills 🔥Practical learning opportunities 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 :- https://pdlink.in/4z3vOYU Save this post and share with your friends

❤2

26 Sept 2026, 21:47 UTC676 views1 reactionsread 27 September 2026
Poll

Which LIKE pattern finds names that begin with the letter A?

  1. A) LIKE '%A'30%
  2. B) LIKE '_A%'6%
  3. C) LIKE 'A%'47%
  4. D) LIKE '%A%'17%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

❤1

26 Sept 2026, 21:46 UTC626 views1 reactionsread 27 September 2026
Poll

What does this condition return? WHERE age BETWEEN 25 AND 30

  1. Ages greater than 25 and less than 30 only48%
  2. Ages from 25 through 30, including both 25 and 3044%
  3. Only ages exactly 25 and 307%
  4. Ages below 25 or above 301%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

❤1

26 Sept 2026, 21:46 UTC565 views1 reactionsread 27 September 2026
Poll

How do you find rows where the phone number is missing?

  1. A) WHERE phone = NULL8%
  2. B) WHERE phone == NULL24%
  3. C) WHERE phone IS NULL66%
  4. D) WHERE phone IN NULL2%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

❤1

26 Sept 2026, 21:45 UTC567 views1 reactionsread 27 September 2026
Poll

Which query returns customers from either Pune or Mumbai?

  1. A) WHERE city = 'Pune' AND city = 'Mumbai'20%
  2. B) WHERE city IN ('Pune', 'Mumbai')64%
  3. C) WHERE city <> 'Pune' AND city <> 'Mumbai'4%
  4. D) WHERE city BETWEEN 'Pune' AND 'Mumbai'11%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

❤1

26 Sept 2026, 21:45 UTC533 views1 reactionsread 27 September 2026
Poll

Which query correctly retrieves employees whose salary is greater than 50,000?

  1. A) SELECT * FROM employees WHERE salary < 50000;9%
  2. B) SELECT * FROM employees WHERE salary = 50000;5%
  3. C) SELECT * FROM employees WHERE salary >= 50000;14%
  4. D) SELECT * FROM employees WHERE salary > 50000;72%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

❤1

26 Sept 2026, 11:03 UTC770 views5 reactionsread 27 September 2026
Photo

🚀 𝗚𝗼𝗼𝗴𝗹𝗲 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜! 📊 Explore these 4 Google learning programs and develop practical, career-relevant skills. 🎓 Explore the programs: 1️⃣ Google Data Analytics Professional Certificate 2️⃣ Google Business Intelligence Professional Certificate 3️⃣ Google AI Essentials 4️⃣ Google Advanced Data Analytics Professional Certificate 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:- https://pdlink.in/4htgIEW …

❤5

24 Sept 2026, 16:53 UTC≈1,620 views4 reactionsread 27 September 2026

Important Excel, Tableau, Statistics, SQL related Questions with answers 1. What are the common problems that data analysts encounter during analysis? The common problems steps involved in any analytics project are: Handling duplicate data Collecting the meaningful right data at the right time Handling data purging and storage problems Making data secure and dealing with compliance issues 2. Explain the Type I an…

❤4

24 Sept 2026, 10:07 UTC≈1,290 views3 reactionsread 27 September 2026
Photo

🚀 𝐁𝐞𝐜𝐨𝐦𝐞 𝐚𝐧 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐢𝐧 𝟐𝟎𝟐𝟔 🎯 Choose Your Learning Track: 💻 Java Full Stack + AI Engineering 🌐 MERN Full Stack + AI Engineering Placement Highlights: ₹41 LPA highest package | ₹7.4 LPA average package | 2,000+ students placed | 500+ hiring partners 🔗 𝗕𝗼𝗼𝗸 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼 𝗖𝗹𝗮𝘀𝘀 :- https://pdlink.in/4fWJVID ⚡ AI is creating new career opportunities—start building the skills companies need in 2026!

❤3

23 Sept 2026, 20:21 UTC≈1,510 views5 reactionsread 27 September 2026

❌ Mistake 2: Forgetting quotes around text Incorrect: WHERE city = Pune; Correct: WHERE city = 'Pune'; ❌ Mistake 3: Using AND when you mean OR Incorrect if you want either city: WHERE city = 'Pune' AND city = 'Mumbai'; A single city value cannot normally be both at the same time. Correct: WHERE city = 'Pune' OR city = 'Mumbai'; Or: WHERE city IN ('Pune', 'Mumbai'); ❌ Mistake 4: Forgetting parentheses Fo…

❤5

23 Sept 2026, 20:21 UTC500 viewsread 27 September 2026

SELECT * FROM customers WHERE city = 'Pune' OR city = 'Mumbai'; This returns customers from either Pune or Mumbai. 🔹 14. AND vs OR Consider: WHERE age > 30 AND city = 'Pune' A customer must satisfy both conditions. But: WHERE age > 30 OR city = 'Pune' A customer only needs to satisfy one or both conditions. This difference is extremely important. 🔹 15. NOT NOT reverses a condition. Example: SELECT * FROM…

23 Sept 2026, 20:21 UTC799 views2 reactionsread 27 September 2026

But IN makes this much cleaner: SELECT * FROM customers WHERE city IN ('Pune', 'Mumbai', 'Delhi'); IN checks whether a value belongs to a specified list. 🔹 23. NOT IN You can also exclude multiple values. SELECT * FROM customers WHERE city NOT IN ('Pune', 'Mumbai'); This returns customers whose city isn't Pune or Mumbai. 🔹 24. LIKE LIKE is used for pattern matching. Suppose we want names beginning with A. S…

❤2

Showing the 12 most recent of 164 posts we hold for @datasciencefun. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Polls

The 6 most recent of 43 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

26 Sept 2026, 21:47 UTCAnonymous Quiz109 voters

Which LIKE pattern finds names that begin with the letter A?

  1. A) LIKE '%A'30%
  2. B) LIKE '_A%'6%
  3. C) LIKE 'A%'47%
  4. D) LIKE '%A%'17%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

26 Sept 2026, 21:46 UTCAnonymous Quiz91 voters

What does this condition return? WHERE age BETWEEN 25 AND 30

  1. Ages greater than 25 and less than 30 only48%
  2. Ages from 25 through 30, including both 25 and 3044%
  3. Only ages exactly 25 and 307%
  4. Ages below 25 or above 301%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

26 Sept 2026, 21:46 UTCAnonymous Quiz92 voters

How do you find rows where the phone number is missing?

  1. A) WHERE phone = NULL8%
  2. B) WHERE phone == NULL24%
  3. C) WHERE phone IS NULL66%
  4. D) WHERE phone IN NULL2%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

26 Sept 2026, 21:45 UTCAnonymous Quiz89 voters

Which query returns customers from either Pune or Mumbai?

  1. A) WHERE city = 'Pune' AND city = 'Mumbai'20%
  2. B) WHERE city IN ('Pune', 'Mumbai')64%
  3. C) WHERE city <> 'Pune' AND city <> 'Mumbai'4%
  4. D) WHERE city BETWEEN 'Pune' AND 'Mumbai'11%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

26 Sept 2026, 21:45 UTCAnonymous Quiz95 voters

Which query correctly retrieves employees whose salary is greater than 50,000?

  1. A) SELECT * FROM employees WHERE salary < 50000;9%
  2. B) SELECT * FROM employees WHERE salary = 50000;5%
  3. C) SELECT * FROM employees WHERE salary >= 50000;14%
  4. D) SELECT * FROM employees WHERE salary > 50000;72%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

16 Sept 2026, 14:06 UTCAnonymous Quiz222 voters

Which Machine Learning algorithm commonly estimates its coefficients using Maximum Likelihood Estimation?

  1. A) Logistic Regression45%
  2. B) K-Means only34%
  3. C) PCA only13%
  4. D) Apriori9%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 164 most recent posts we hold, published 31 July 2026 to 27 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 25 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,434
26 posts
Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
@FAANGJob · 26,890
25 posts
Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert
@free4unow_backup · 74,600
23 posts
Python Projects & Free Books
@pythonfreebootcamp · 40,776
14 posts
Coding & AI Resources
@leadcoding · 35,444
10 posts
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 58,470
9 posts
Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses
@udacityfreecourse · 46,704
7 posts
Data Science Jobs
@datasciencej · 8,316
5 posts
MS Excel for Data Analysis
@excel_analyst · 72,836
5 posts
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 56,038
5 posts
Python Courses & Resources
@Python53 · 50,715
5 posts
Freelancing Tips: Earn Money Online
@freelancing_upwork · 22,366
4 posts
Coding Projects
@Programming_experts · 67,682
4 posts
Machine Learning with Python
@CodeProgrammer · 68,301
3 posts
Coding & Data Science Resources
@codingfreebooks · 32,555
3 posts
Data Science Projects
@pythonspecialist · 56,321
3 posts
SQL Programming Resources
@sqlanalyst · 76,675
3 posts
Udemy Free Courses | Coding | ChatGPT | AI Crypto | Microsoft Certificate | Artificial Intelligence
@udemy_free_courses_with_certi · 70,681
3 posts
The World Of Programming
@w_of_programming · 13,514
3 posts
Python Projects & Resources
@pythondevelopersindia · 63,430
2 posts
Algorithms and Data structure
@Algorithm_s1 · 26
1 post
Data Science
@datascienceofficial · 342
1 post
Developers India 🇮🇳
@developersindiamain · 2,551
1 post
LinkRadar | Discover Telegram Gems
@TheLinkRadar · 7
1 post

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,434
#1
Data Science Projects
@pythonspecialist · 56,321
#2
Artificial Intelligence
@machinelearning_deeplearning · 55,794
#3
Data Analytics
@sqlspecialist · 110,886
#4
Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
@learndataanalysis · 53,262
#5
Machine Learning
@MachineLearning9 · 41,424
#6
Coding Projects
@Programming_experts · 67,682
#7
MS Excel for Data Analysis
@excel_analyst · 72,836
#8
Python Projects & Resources
@pythondevelopersindia · 63,430
#9
Python Programming Books
@dsabooks · 59,137
#10
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 58,470
#11
Machine Learning with Python
@CodeProgrammer · 68,301
#12
Python Courses & Resources
@Python53 · 50,715
#13
AI & ML Papers
@PaperNexus · 33,858
#14
Web Development
@webdevcoursefree · 79,578
#15
Learn Python
@LearnPython3 · 125,222
#16
Udemy Free Courses | Coding | ChatGPT | AI Crypto | Microsoft Certificate | Artificial Intelligence
@udemy_free_courses_with_certi · 70,681
#17
Data Science Jobs
@datasciencej · 8,316
#18
Artificial Intelligence & ChatGPT Prompts
@Curiousprogrammer · 42,238
#19
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 56,038
#20
Python for Data Analysts
@pythonanalyst · 51,857
#21
Learn Python Coding
@pythonRe · 40,364
#22
Data Analyst Interview Resources
@dataanalystinterview · 52,609
#23
Generative AI
@generativeai_gpt · 30,868
#24
Coding Interview Resources
@crackingthecodinginterview · 52,232
#25
Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence
@DataPortfolio · 38,028
#26
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
@sqlproject · 39,680
#27
AI and Machine Learning
@machine_learning_courses · 95,724
#28
AI - Artificial Intelligence
@aineeringdotcom · 16,029
#29
Data Engineers
@sql_engineer · 11,126
#30
ChatGPT & Free AI Resources
@learngpt · 38,216
#31
Remote Jobs — Daily LinkedIn Picks 💼
@Jobs204 · 22,576
#32
Web Development - HTML, CSS & JavaScript
@javascript_courses · 55,698
#33
Data Analytics
@DataAnalyticsX · 30,208
#34
Data Science & Machine Learning
@DataScienceInterviews · 27,673
#35
Machine learning books and papers
@Machine_learn · 24,295
#36
Artificial Intelligence / Deep & Machine Learning (Data Science)
@DataLearning_101 · 14,877
#37
AI Technology | Claude & ChatGPT Prompts
@aijobss · 13,777
#38
ML - DS/DA/DE - AI [Jobs, InterviewPrep] 🇮🇳
@ml_ds_ai_jobs · 25,932
#39
Artificial Intelligence
@Artificial_intelligence_in · 65,766
#40
Coding & Data Science Resources
@codingfreebooks · 32,555
#41
Python Projects & Free Books
@pythonfreebootcamp · 40,776
#42
Data science/ML/AI
@datascience_bds · 13,964
#43
AI & Deep Learning
@deeplearning005 · 11,155
#44
Artificial Intelligence && Deep Learning
@DeepLearning_ai · 57,432
#45
Computer Science Interview Books
@InterviewBooks · 40,516
#46
Computer Science and Programming
@computer_science_and_programming · 139,806
#47
Data Science
@datascienceiot · 42,634
#48
Python Interviews
@PythonInterviews · 28,969
#49
Startup & Business Ideas
@Learn_Startup · 32,970
#50
AI.News.Daily
@ainews_daily · 3,926
#51
Java Programming
@Java_Programming_Notes · 33,275
#52
Programming, data science, ML - free courses by Big Data Specialist
@bigdataspecialist · 26,486
#53
Data Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,546
#54
AI Jobs
@AiIndiaJobs · 18,335
#55
Cloud Engineers | AWS | Azure | GCP Devops Notes
@AWS_GCP_Azure · 5,465
#56
Artificial Intelligence
@Artificial_Intelligence_AI · 16,462
#57
Always Free Udemy Courses
@AlwaysFreeUdemyCourses · 18,460
#58
Data Visualization
@data_visualization_bds · 6,314
#59
SQL Programming Resources
@sqlanalyst · 76,675
#60
Power BI & Tableau Resources
@PowerBI_analyst · 55,842
#61
Data Analyst Jobs
@jobs_SQL · 91,421
#62
Jobs | Internships | Placement | Interviews
@getjobss · 113,437
#63
Linkedin Learning
@linkedin_learning · 217,924
#64
AI Prompts | ChatGPT | Google Gemini | Claude
@aiindi · 58,966
#65
Engineering Programs and Mobile Apps
@ProgramsStore · 15,417
#66
Web Development
@webdev_trainings · 133,855
#67
AI Post — Artificial Intelligence
@aipost · 700,241
#68
Finance, Investing & Stock Marketing
@stockmarketinginsights · 25,970
#69
Ai Tools: ChatGPT, Midjourney, Deepseek
@OpenAI_Mastery · 50,064
#70
TrueMinds | Personality Development - Words of Wisdom & Life Quotes
@trueminds · 27,344
#71
Learn JavaScript
@JavaScript_Trainings · 96,712
#72
Remote Python Jobs: Find your dream remote Python job!
@remote_python_jobs · 4,955
#73
Learn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,600
#74
Data Science
@sql_databases · 70,599
#75
Remote AI/ML/Data Science Jobs
@remote_ai_jobs · 8,179
#76
Programing Resources: Python - Java - R - SQL - Javascript - C++
@the_programming_girls · 30,491
#77
Artificial Intelligence
@Artificial_Intelligence_COM · 72,023
#78
Learn Business and Finance
@Learn_Business_101 · 52,476
#79
Cool GitHub repositories
@github_repositories_bds · 10,771
#80
Software Developer Jobs & IT Internships
@internshiptojobs · 48,447
#81
Learn React and NextJs
@React_Training · 62,922
#82
Health Fitness & Diet Tips - Gym Motivation 💪
@HealthFitnessGymTips · 19,780
#83
Finance | Trading Tips | Stock Marketing | Business News
@Finance_Stock_Trading · 23,207
#84
Finance, Trading & Stock Marketing Books
@BestFinanceBooks · 25,148
#85

Read from Telegram’s recommendation API, most recently 19 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Generative AI
@generativeai_gpt · 30,868
Telegram ranks this channel #1 of 82 here — alongside 81 others — read 7 September 2026
CloudyML - Data Science & Analytics
@cloudymlofficial · 47,680
Telegram ranks this channel #1 of 88 here — alongside 87 others — read 26 August 2026
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,434
Telegram ranks this channel #1 of 88 here — alongside 87 others — read 20 August 2026
Codehub
@pythonadvisorai · 32,027
Telegram ranks this channel #2 of 71 here — alongside 70 others — read 5 September 2026
Artificial Intelligence
@machinelearning_deeplearning · 55,794
Telegram ranks this channel #2 of 86 here — alongside 85 others — read 23 August 2026
Data Science Projects
@pythonspecialist · 56,321
Telegram ranks this channel #2 of 89 here — alongside 88 others — read 23 August 2026
Python Projects & Resources
@pythondevelopersindia · 63,430
Telegram ranks this channel #2 of 86 here — alongside 85 others — read 21 August 2026
Data Science & Machine Learning Free Resources
@datascience69 · 20,492
Telegram ranks this channel #3 of 82 here — alongside 81 others — read 27 September 2026
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 56,038
Telegram ranks this channel #3 of 84 here — alongside 83 others — read 23 August 2026
Udemy Free Courses | Coding | ChatGPT | AI Crypto | Microsoft Certificate | Artificial Intelligence
@udemy_free_courses_with_certi · 70,681
Telegram ranks this channel #3 of 80 here — alongside 79 others — read 20 August 2026
Data Science & Machine Learning Resources
@datalemur · 20,794
Telegram ranks this channel #4 of 72 here — alongside 71 others — read 26 September 2026
Coding Projects
@Programming_experts · 67,682
Telegram ranks this channel #4 of 84 here — alongside 83 others — read 20 August 2026
AI and Machine Learning
@machine_learning_courses · 95,724
Telegram ranks this channel #4 of 74 here — alongside 73 others — read 16 August 2026
CyberSecurity & AI Experts
@EthicalHackingToday · 43,668
Telegram ranks this channel #5 of 67 here — alongside 66 others — read 25 September 2026
Data Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,546
Telegram ranks this channel #5 of 83 here — alongside 82 others — read 10 September 2026
Coding & Data Science Resources
@codingfreebooks · 32,555
Telegram ranks this channel #5 of 79 here — alongside 78 others — read 5 September 2026
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
@sqlproject · 39,680
Telegram ranks this channel #5 of 84 here — alongside 83 others — read 30 August 2026
Python for Data Analysts
@pythonanalyst · 51,857
Telegram ranks this channel #5 of 82 here — alongside 81 others — read 24 August 2026
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 58,470
Telegram ranks this channel #5 of 82 here — alongside 81 others — read 23 August 2026
Data Analytics
@sqlspecialist · 110,886
Telegram ranks this channel #5 of 83 here — alongside 82 others — read 14 August 2026
Programming, data science, ML - free courses by Big Data Specialist
@bigdataspecialist · 26,486
Telegram ranks this channel #6 of 80 here — alongside 79 others — read 12 September 2026
Data Science & Machine Learning
@DataScienceInterviews · 27,673
Telegram ranks this channel #6 of 86 here — alongside 85 others — read 10 September 2026
Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence
@DataPortfolio · 38,028
Telegram ranks this channel #6 of 83 here — alongside 82 others — read 31 August 2026
Python Projects & Free Books
@pythonfreebootcamp · 40,776
Telegram ranks this channel #6 of 78 here — alongside 77 others — read 30 August 2026

This channel appears in 140 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 25 September 2026 — this entry's latest reading, not the date you are reading this.

“Data Science & Machine Learning” (@datasciencefun), 77,580 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/datasciencefun.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.