Telegram RegisterThe public register of Telegram

Channel

Data Science & Machine Learning

@datasciencefun

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

77,142subscribers

+84 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
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/datasciencefun

Growth

77,05877,14277,1006 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 subscribers6 August 202613 August 2026
8 measurements spanning 6 days, net +84. 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 77,045–77,155 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 01:0577,142+29
12 Aug 2026, 00:5677,113+1
11 Aug 2026, 03:3377,112+17
10 Aug 2026, 04:1177,095-15
9 Aug 2026, 02:5177,110+10
8 Aug 2026, 04:3177,100+36
7 Aug 2026, 07:0877,064+6
6 Aug 2026, 14:3777,058first reading

Engagement

44 posts held, back to 31 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.90%
avg views ÷ 77,142 subscribers
Avg views / post
1,470
44 posts measured
Reaction rate
0.243%
reactions ÷ views · ER floor
Posts in window
44
of 44 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 34 of 44 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 11 August 2026
Posts held44 (31 July 202611 August 2026)
Views total64,656
Reactions total125
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:54 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.

Reaction mix

125 reactions across 33 posts, in 5 distinct kinds. The most used accounts for 89.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11289.6%
👍75.60%
🔥32.40%
🤩21.60%
😁10.8%

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 34 of the 44 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 125reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 44 most recent posts we hold, published 31 July 2026 to 11 August 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

11 Aug 2026, 15:22 UTC≈1,050 views8 reactionsread 12 August 2026
Photo

🚀 DATA ANALYTICS + AI: YOUR NEXT CAREER MOVE! Data is everywhere. The right skills can put you ahead. Join the PW Skills Data Analytics With AI Course and learn Excel, SQL, Python, Power BI & AI tools through live sessions and real-world projects. ✨ What you get: ✅ Industry-relevant Data Analytics skills ✅ AI-powered learning ✅ Microsoft collaboration ✅ Hands-on projects ✅ Job assistance* ✅ Live classes in Hinglish

8

11 Aug 2026, 11:15 UTC≈1,270 viewsread 12 August 2026
Poll

Which Machine Learning algorithm is directly based on Bayes' Theorem?

  1. A) K-Means16%
  2. B) Random Forest15%
  3. C) Naive Bayes63%
  4. D) Linear Regression6%

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

11 Aug 2026, 11:15 UTC≈1,160 viewsread 12 August 2026
Poll

In Bayes' Theorem, what is the "prior probability"?

  1. A) Probability after observing evidence15%
  2. B) Initial probability before considering new evidence65%
  3. C) Probability that the evidence is false8%
  4. D) Probability of two independent events12%

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

11 Aug 2026, 11:14 UTC938 viewsread 12 August 2026
Poll

What does P(A|B) mean?

  1. A) Probability of B given A17%
  2. B) Probability of A and B15%
  3. C) Probability of A given B60%
  4. D) Probability of A or B8%

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

11 Aug 2026, 11:14 UTC869 viewsread 12 August 2026
Poll

Which is the correct formula for Bayes' Theorem?

  1. A) P(A|B) = P(A) × P(B)11%
  2. B) P(A|B) = P(A) / P(B)11%
  3. C) P(A|B) = [P(B|A) × P(A)] / P(B)72%
  4. D) P(A|B) = P(A) + P(B)6%

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

11 Aug 2026, 11:14 UTC834 viewsread 12 August 2026
Poll

What is the main purpose of Bayes' Theorem?

  1. A) Calculate the mean of a dataset5%
  2. B) Update the probability of an event using new evidence87%
  3. C) Calculate standard deviation5%
  4. D) Remove duplicate data4%

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

11 Aug 2026, 06:55 UTC812 views2 reactionsread 12 August 2026
Photo

🚀 𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝟮𝟬𝟮𝟲 🎓 Want to upgrade your resume with Google skills and certifications Explore FREE learning opportunities and build in-demand skills for today's job market. 👉Artificial Intelligence & Generative AI 📊 Data Analytics ☁️ Cloud Computing 📢 Digital Marketing 🔐 Cybersecurity 💻 Tech & Career Skills 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:- https://pdlink.in/4z9pdgf 🔥 Don't just collect certificates — bu

2

10 Aug 2026, 20:47 UTC≈1,100 views9 reactionsread 12 August 2026

But that's not necessarily true. We also need to consider: • How common the disease is • How often the test produces false positives • How accurate the test is Bayes' Theorem combines all of this information to calculate the probability of actually having the disease given a positive test. This is called the base-rate effect. 🔹 11. Fraud Detection Example Suppose a bank monitors transactions. Initially: P(Fraud

7🔥2

10 Aug 2026, 20:47 UTC953 views2 reactionsread 12 August 2026

🚀 Data Science Roadmap 2026 📘 Phase 2: Mathematics for Data Science 📖 Topic 5: Bayes' Theorem Welcome back! 👋 In the previous lesson, you learned the fundamentals of Probability. Now we're moving to one of the most important concepts in probability and statistics for Data Science: Bayes' Theorem. Bayes' Theorem helps us update the probability of an event when we receive new information. It is particularly impor

2

10 Aug 2026, 13:44 UTC≈1,020 views4 reactionsread 12 August 2026
Photo

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4

10 Aug 2026, 05:05 UTC≈1,140 views2 reactionsread 12 August 2026
Photo

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2

9 Aug 2026, 06:37 UTC≈1,560 views4 reactionsread 12 August 2026
Photo

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4

Showing the 12 most recent of 44 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 19 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.

11 Aug 2026, 11:15 UTCAnonymous Quiz220 voters

Which Machine Learning algorithm is directly based on Bayes' Theorem?

  1. A) K-Means16%
  2. B) Random Forest15%
  3. C) Naive Bayes63%
  4. D) Linear Regression6%

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

11 Aug 2026, 11:15 UTCAnonymous Quiz155 voters

In Bayes' Theorem, what is the "prior probability"?

  1. A) Probability after observing evidence15%
  2. B) Initial probability before considering new evidence65%
  3. C) Probability that the evidence is false8%
  4. D) Probability of two independent events12%

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

11 Aug 2026, 11:14 UTCAnonymous Quiz157 voters

What does P(A|B) mean?

  1. A) Probability of B given A17%
  2. B) Probability of A and B15%
  3. C) Probability of A given B60%
  4. D) Probability of A or B8%

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

11 Aug 2026, 11:14 UTCAnonymous Quiz152 voters

Which is the correct formula for Bayes' Theorem?

  1. A) P(A|B) = P(A) × P(B)11%
  2. B) P(A|B) = P(A) / P(B)11%
  3. C) P(A|B) = [P(B|A) × P(A)] / P(B)72%
  4. D) P(A|B) = P(A) + P(B)6%

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

11 Aug 2026, 11:14 UTCAnonymous Quiz133 voters

What is the main purpose of Bayes' Theorem?

  1. A) Calculate the mean of a dataset5%
  2. B) Update the probability of an event using new evidence87%
  3. C) Calculate standard deviation5%
  4. D) Remove duplicate data4%

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

7 Aug 2026, 21:11 UTCAnonymous Quiz202 voters

In Data Science, Standard Deviation is commonly used for which of the following?

  1. A) Creating folders3%
  2. B) Measuring data variability and feature scaling91%
  3. C) Designing web pages1%
  4. D) Connecting to databases4%

Shares as published, totalling 99%. 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 44 most recent posts we hold, published 31 July 2026 to 11 August 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.

Citation-graph rank

Citation-graph rank — 34,455 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 19 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.

Named by

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

Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
@FAANGJob · 26,672
11 posts
Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert
@free4unow_backup · 74,934
10 posts
Python Projects & Free Books
@pythonfreebootcamp · 40,857
7 posts
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 57,196
4 posts
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 67,788
4 posts
Data Science Jobs
@datasciencej · 8,293
4 posts
Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses
@udacityfreecourse · 47,107
4 posts
Coding & AI Resources
@leadcoding · 35,420
3 posts
Coding Projects
@Programming_experts · 67,200
3 posts
Data Science Projects
@pythonspecialist · 55,916
3 posts
Coding & Data Science Resources
@codingfreebooks · 32,380
2 posts
Freelancing Tips: Earn Money Online
@freelancing_upwork · 22,126
2 posts
Udemy Free Courses | Coding | ChatGPT | AI Crypto | Microsoft Certificate | Artificial Intelligence
@udemy_free_courses_with_certi · 70,617
2 posts
Algorithms and Data structure
@Algorithm_s1 · 26
1 post
Machine Learning with Python
@CodeProgrammer · 68,166
1 post
Data Analyst Interview Resources
@dataanalystinterview · 52,650
1 post
Developers India 🇮🇳
@developersindiamain · 2,590
1 post
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 56,215
1 post
LinkRadar | Discover Telegram Gems
@TheLinkRadar · 6
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.

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.

Great Learning Academy
@GreatLearningAcademy · 157,583
Telegram ranks this channel #9 of 83 here — alongside 82 others — read 12 August 2026
Computer Science and Programming
@computer_science_and_programming · 140,958
Telegram ranks this channel #11 of 87 here — alongside 86 others — read 13 August 2026
Tricky Man
@Trickyman2 · 155,283
Telegram ranks this channel #17 of 57 here — alongside 56 others — read 12 August 2026
Linkedin Learning
@linkedin_learning · 218,111
Telegram ranks this channel #50 of 65 here — alongside 64 others — read 11 August 2026
TheSanskaarSingh
@codeslearningTG · 269,931
Telegram ranks this channel #57 of 84 here — alongside 83 others — read 11 August 2026
Krishan Kumar - Jobs & Internships Updates
@jobs_and_internships_updates · 199,664
Telegram ranks this channel #60 of 82 here — alongside 81 others — read 11 August 2026
Coders World
@codersworld1 · 151,181
Telegram ranks this channel #79 of 83 here — alongside 82 others — read 12 August 2026
job4freshers.co.in
@job4fresherss · 327,579
Telegram ranks this channel #84 of 92 here — alongside 91 others — read 10 August 2026

This channel appears in 8 seed channels' Telegram-generated recommendation lists in total. 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Data Science & Machine Learning” (@datasciencefun), 77,142 subscribers as measured 13 August 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.