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Channel

Data science/ML/AI

@datascience_bds

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

13,904subscribers

+65 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001237015560
TypeChannel
Username@datascience_bds
DescriptionData science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live21 August 2026
Measurements held15
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/datascience_bds

Growth

13,83913,90813,873.57 August 2026 — 13,839 subscribers8 August 2026 — 13,866 subscribers9 August 2026 — 13,874 subscribers10 August 2026 — 13,880 subscribers11 August 2026 — 13,877 subscribers12 August 2026 — 13,879 subscribers12 August 2026 — 13,880 subscribers14 August 2026 — 13,882 subscribers15 August 2026 — 13,892 subscribers16 August 2026 — 13,899 subscribers17 August 2026 — 13,904 subscribers18 August 2026 — 13,902 subscribers19 August 2026 — 13,906 subscribers20 August 2026 — 13,908 subscribers21 August 2026 — 13,904 subscribers13,9047 August 202621 August 2026
15 measurements spanning 15 days, net +65. 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 13,829–13,918 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 18:3813,904-4
20 Aug 2026, 17:5613,908+2
19 Aug 2026, 19:3513,906+4
18 Aug 2026, 20:4313,902-2
17 Aug 2026, 20:3813,904+5
16 Aug 2026, 18:4713,899+7
15 Aug 2026, 08:2613,892+10
14 Aug 2026, 02:0613,882+2
12 Aug 2026, 23:5413,880+1
12 Aug 2026, 03:0213,879+2
11 Aug 2026, 06:0513,877-3
10 Aug 2026, 02:5213,880+6
9 Aug 2026, 01:4113,874+8
8 Aug 2026, 01:0513,866+27
7 Aug 2026, 01:1513,839first reading

Engagement

36 posts held, back to 12 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 29 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.20%
avg views ÷ 13,904 subscribers
Avg views / post
1,000
27 posts measured
Reaction rate
0.4%
reactions ÷ views · ER floor
Posts in window
27
of 36 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 26 of 27 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 22 August 2026
Posts held36 (12 July 202622 August 2026)
Views total27,028
Reactions total105
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 13:08 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
587
Videos
2
Links
333

Lifetime counters from Telegram’s own channel header, read 22 August 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.

Reaction mix

177 reactions across 35 posts, in 4 distinct kinds. The most used accounts for 83.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14783.1%
🔥1810.2%
👍116.21%
😁10.565%

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 35 of the 36 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 177reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 12 July 2026 to 22 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

22 Aug 2026, 10:32 UTC91 views1 reactionsread 22 August 2026

📊 10 Websites Every Data Scientist Should Bookmark Whether you're learning data science or building production models, they'll save you a lot of time. Google Dataset Search Find millions of public datasets from universities, governments, and research organizations. Our World in Data High quality datasets with well-researched visualizations on health, climate, economics, energy, education, and more. UCI Machine Lea

1

21 Aug 2026, 08:45 UTC327 views3 reactionsread 22 August 2026
Photo

12 AI Frameworks Every AI Engineer Should Know

3

20 Aug 2026, 13:34 UTC396 views2 reactionsread 22 August 2026
Photo

📘 R for Data Science ✍️ Authors: Garrett Grolemund, Hadley Wickham 🔗 Read Online #Datascience #R ──────────────────── 👉 @free_programming_books_bds 👈

2

20 Aug 2026, 07:01 UTC394 views4 reactionsread 22 August 2026

✅ SQL Essentials for Data Science 🗄 👉 SQL remains an absolute must-have skill for anyone working in Data Science or Analytics. Virtually every organization manages its core information inside databases, and SQL is the key to extracting, transforming, and analyzing that data. 🔹 1. What is SQL? SQL = Structured Query Language 👉 Used to: ✔️ Query data ✔️ Filter records ✔️ Perform calculations ✔️ Uncover business i

🔥4

19 Aug 2026, 12:00 UTC440 views2 reactionsread 22 August 2026
Photo

❌ Cross Entropy Isn't Measuring Accuracy Here's something that surprises a lot of people. These two predictions are both correct. Prediction A Cat: 51% Dog: 49% Prediction B Cat: 99.9% Dog: 0.1% Accuracy treats them exactly the same. Cross Entropy doesn't. It rewards confidence only when the model is correct. If the true class is "Cat": Prediction A gets a relatively high loss. Prediction B gets a very small loss.

👍2

16 Aug 2026, 08:04 UTC806 viewsread 22 August 2026

📍If Your Model Suddenly Gets Worse, Check These First Before retraining everything, inspect: • Data drift • Missing values • Feature distribution changes • New categories • Pipeline failures • Label quality Production issues are often data problems, not algorithm problems.

14 Aug 2026, 07:02 UTC912 views4 reactionsread 22 August 2026
Photo

15 GitHub Repositories For Machine Learning Engineers

4

13 Aug 2026, 13:15 UTC905 views4 reactionsread 22 August 2026

List of AI Project Ideas 👨🏻‍💻🤖 - Beginner Projects 🔹 Sentiment Analyzer 🔹 Image Classifier 🔹 Spam Detection System 🔹 Face Detection 🔹 Chatbot (Rule-based) 🔹 Movie Recommendation System 🔹 Handwritten Digit Recognition 🔹 Speech-to-Text Converter 🔹 AI-Powered Calculator 🔹 AI Hangman Game Intermediate Projects 🔸 AI Virtual Assistant 🔸 Fake News Detector 🔸 Music Genre Classification 🔸 AI Resume Screener 🔸 Style Transf

4

12 Aug 2026, 07:34 UTC852 views3 reactionsread 22 August 2026
File

We recently had a request from for Unsupervised Learning notes. To make this resource even more valuable for everyone, we decided to bundle them together with Supervised Learning notes as well! Source: Princeton University Lecture Notes @datascience_bds

2🔥1

Showing the 12 most recent of 36 posts we hold for @datascience_bds. 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.

Citation-graph rank

Citation-graph rank — 1,258,485 of 1,583,249entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 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.

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.

AI and Machine Learning
@machine_learning_courses · 95,211
Telegram ranks this channel #16 of 74 here — alongside 73 others — read 16 August 2026
MS Excel for Data Analysis
@excel_analyst · 72,374
Telegram ranks this channel #25 of 84 here — alongside 83 others — read 20 August 2026
Machine Learning with Python
@CodeProgrammer · 68,188
Telegram ranks this channel #26 of 84 here — alongside 83 others — read 20 August 2026
Data Analytics
@sqlspecialist · 110,764
Telegram ranks this channel #34 of 83 here — alongside 82 others — read 14 August 2026
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 67,955
Telegram ranks this channel #35 of 88 here — alongside 87 others — read 20 August 2026
Udemy Free Courses | Coding | ChatGPT | AI Crypto | Microsoft Certificate | Artificial Intelligence
@udemy_free_courses_with_certi · 70,642
Telegram ranks this channel #39 of 80 here — alongside 79 others — read 20 August 2026
Python Programming Books
@dsabooks · 59,037
Telegram ranks this channel #41 of 89 here — alongside 88 others — read 22 August 2026
Python Projects & Resources
@pythondevelopersindia · 63,316
Telegram ranks this channel #41 of 86 here — alongside 85 others — read 21 August 2026
Data Science & Machine Learning
@datasciencefun · 77,305
Telegram ranks this channel #43 of 85 here — alongside 84 others — read 19 August 2026
Learn Python
@LearnPython3 · 125,057
Telegram ranks this channel #44 of 65 here — alongside 64 others — read 13 August 2026
Coding Projects
@Programming_experts · 67,322
Telegram ranks this channel #49 of 84 here — alongside 83 others — read 20 August 2026
SQL Programming Resources
@sqlanalyst · 76,646
Telegram ranks this channel #53 of 85 here — alongside 84 others — read 19 August 2026
Artificial Intelligence
@Artificial_intelligence_in · 65,539
Telegram ranks this channel #55 of 90 here — alongside 89 others — read 21 August 2026
Data Analyst Jobs
@jobs_SQL · 91,192
Telegram ranks this channel #55 of 86 here — alongside 85 others — read 17 August 2026
Placementkit - OffCampus/OnCampus Placement Jobs
@placementkit · 133,851
Telegram ranks this channel #56 of 92 here — alongside 91 others — read 13 August 2026
Computer Science and Programming
@computer_science_and_programming · 140,868
Telegram ranks this channel #60 of 87 here — alongside 86 others — read 13 August 2026
Prepflix
@jobsvacancynew · 67,747
Telegram ranks this channel #70 of 85 here — alongside 84 others — read 20 August 2026

This channel appears in 17 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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“Data science/ML/AI” (@datascience_bds), 13,904 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/datascience_bds.

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.