Telegram RegisterThe public register of Telegram

Channel

Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence

@DataPortfolio

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

37,850subscribers

+24 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002088681854
TypeChannel
Username@DataPortfolio
DescriptionFree Datasets For Data Science Projects & Portfolio Buy ads: https://telega.io/c/DataPortfolio For Promotions/ads: @coderfun @love_data
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/DataPortfolio

Growth

37,82237,85237,8377 August 2026 — 37,826 subscribers8 August 2026 — 37,824 subscribers9 August 2026 — 37,822 subscribers10 August 2026 — 37,839 subscribers11 August 2026 — 37,852 subscribers12 August 2026 — 37,850 subscribers37,8507 August 202612 August 2026
6 measurements spanning 5 days, net +24. 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 37,818–37,857 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 17:5437,850-2
11 Aug 2026, 15:5237,852+13
10 Aug 2026, 16:2837,839+17
9 Aug 2026, 15:3137,822-2
8 Aug 2026, 13:3037,824-2
7 Aug 2026, 13:1537,826first reading

Engagement

21 posts held, back to 25 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.93%
avg views ÷ 37,850 subscribers
Avg views / post
1,110
9 posts measured
Reaction rate
0.248%
reactions ÷ views · ER floor
Posts in window
9
of 21 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 8 of 9 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 7 August 2026
Posts held21 (25 February 20267 August 2026)
Views total9,974
Reactions total23
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 20:41 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
293
Links
350

Lifetime counters from Telegram’s own channel header, read 12 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

134 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 95.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12895.5%
👍32.24%
🔥32.24%

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 19 of the 21 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 134reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 25 February 2026 to 7 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

7 Aug 2026, 21:17 UTC663 views4 reactionsread 12 August 2026

✅ Top Data Analyst Projects That Impress Recruiters 📈💼 1. Sales Data Analysis → Analyze monthly/quarterly sales trends → Segment by product, region, and sales reps → Tools: Excel, SQL, Power BI/Tableau 2. Customer Retention Dashboard → Churn analysis and retention KPIs → Use cohort analysis, funnel visualization → Tools: Python, Tableau 3. E-commerce Data Exploration → Study user behavior, conversion rate → Analyz

4

6 Aug 2026, 20:58 UTC709 viewsread 12 August 2026
Photo

📢 Advertising in this channel You can place an ad via Telega․io. It takes just a few minutes. Formats and current rates: View details

5 Aug 2026, 07:41 UTC892 views3 reactionsread 12 August 2026
Photo

🚨 BREAKING: PW Skills x Microsoft just launched The Complete Live Gen AI Engineering Program Generative AI isn't the future anymore, it's the present. And now you can master it live, with Microsoft's backing behind you. Learn Agentic AI, LLMOps & real-world AI Development, taught through live interactive classes, in Hinglish, over a structured 5-month journey. 🎓 Bonus: Includes a Premium Microsoft Module, added cr

3

29 Jul 2026, 18:12 UTC≈1,340 views1 reactionsread 12 August 2026
Photo

Understanding Generative AI: It's Not AGI What is Generative AI? Generative AI refers to algorithms designed to generate new content — from text to images — based on patterns learned from a dataset. Technologies like GPT-4 and DALL-E are popular examples, extensively used for tasks ranging from writing articles to designing graphics. How Does Generative AI Work? 1 Training: Generative AI models are trained on l

1

25 Jul 2026, 13:37 UTC≈1,440 views2 reactionsread 12 August 2026
Photo

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2

24 Jul 2026, 15:10 UTC≈1,380 views6 reactionsread 12 August 2026

If you want to get a job as a machine learning engineer, don’t start by diving into the hottest libraries like PyTorch,TensorFlow, Langchain, etc. Yes, you might hear a lot about them or some other trending technology of the year...but guess what! Technologies evolve rapidly, especially in the age of AI, but core concepts are always seen as more valuable than expertise in any particular tool. Stop trying to perform

6

24 Jul 2026, 11:06 UTC≈1,060 views2 reactionsread 12 August 2026
Photo

🧐 Python Cheatsheet - A handy reference guide! A compact reference that gathers the main constructs of the language in one place. On the page, you can quickly find information about strings, lists, dictionaries, functions, classes, exceptions, regular expressions, and built-in functions. 📌 Here's the link: https://labex.io/pythoncheatsheet/

2

22 Jul 2026, 19:18 UTC≈1,310 views4 reactionsread 12 August 2026

Basics of Machine Learning 👇👇 Machine learning is a branch of artificial intelligence where computers learn from data to make decisions without explicit programming. There are three main types: 1. Supervised Learning: The algorithm is trained on a labeled dataset, learning to map input to output. For example, it can predict housing prices based on features like size and location. 2. Unsupervised Learning: The algo

4

22 Jul 2026, 18:54 UTC≈1,180 views1 reactionsread 12 August 2026

A step-by-step guide to land a job as a data analyst Landing your first data analyst job is toughhhhh. Here are 11 tips to make it easier: - Master SQL. - Next, learn a BI tool. - Drink lots of tea or coffee. - Tackle relevant data projects. - Create a relevant data portfolio. - Focus on actionable data insights. - Remember imposter syndrome is normal. - Find ways to prove you’re a problem-solver. - Develop compel

1

10 Jul 2026, 20:16 UTC≈2,090 views4 reactionsread 12 August 2026
Photo

How Modern AI Agents Work : A complete System Blueprint !

4

2 Jul 2026, 17:40 UTC≈2,710 views6 reactionsread 12 August 2026

🎯 2026 Free Course 👇 1/ Python for Beginners (Microsoft): https://learn.microsoft.com/en-us/shows/intro-to-python-development/ 2/ SQL for Data Science (IBM via edX): https://www.edx.org/learn/data-science/ibm-sql-for-data-science 3/ Java Programming (Infosys Springboard) https://placementdriveinsta.in/infosys-free-java-course-with-certificate/ 4/ AI Fundamentals - AI-900 (Microsoft) https://learn.microsoft.com/en

6

24 Jun 2026, 18:21 UTC≈2,780 views11 reactionsread 12 August 2026

✅ Python for Data Science – Part 1: NumPy Interview Q&A 📊 🔹 1. What is NumPy and why is it important? NumPy (Numerical Python) is a powerful Python library for numerical computing. It supports fast array operations, broadcasting, linear algebra, and random number generation. It’s the backbone of many data science libraries like Pandas and Scikit-learn. 🔹 2. Difference between Python list and NumPy array Python list

11

Showing the 12 most recent of 21 posts we hold for @DataPortfolio. 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.

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 #57 of 83 here — alongside 82 others — read 12 August 2026
English
@English_IBPS_PO_Clerk_SSC_CGL_GK · 184,848
Telegram ranks this channel #57 of 83 here — alongside 82 others — read 11 August 2026

This channel appears in 2 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence” (@DataPortfolio), 37,850 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/DataPortfolio.

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.