Telegram RegisterThe public register of Telegram
Telegram profile photo for Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence

Channel

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

@DataPortfolio

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

37,776subscribers

-50 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 live10 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/DataPortfolio

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.

Growth

37,77638,06537,920.57 August 202610 November 2026
61 measurements spanning 95 days, net -50. 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 37,733–38,108 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
10 Nov 2026, 07:3737,776-28
8 Nov 2026, 19:3137,804-28
7 Nov 2026, 12:4637,832-8
5 Nov 2026, 15:0637,840-12
4 Nov 2026, 17:4937,852-8
3 Nov 2026, 20:5037,860-12
2 Nov 2026, 23:4937,872+17
1 Nov 2026, 21:5637,855-9
31 Oct 2026, 23:5937,864-12
31 Oct 2026, 01:4837,876+2
30 Oct 2026, 00:5637,874-16
29 Oct 2026, 04:1837,890+1
28 Oct 2026, 04:0037,889-4
27 Oct 2026, 00:1637,893+3
26 Oct 2026, 00:5437,890-4
24 Oct 2026, 21:3637,894-10
23 Oct 2026, 22:5937,904-13
23 Oct 2026, 00:0737,917-16
21 Oct 2026, 21:2837,933-4
20 Oct 2026, 19:5937,937first reading

Engagement

33 posts held, back to 25 February 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 180 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.41%
avg views ÷ 37,776 subscribers
Avg views / post
1,290
1 post measured
Reaction rate
0.078%
reactions ÷ views · ER floor
Posts in window
1
of 33 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 19 October 2026
Posts held33 (25 February 2026 – 19 October 2026)
Views total1,290
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 23:05 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
292
Videos
1
Links
353

Lifetime counters from Telegram’s own channel header, read 10 November 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

197 reactions across 32 posts, in 3 distinct kinds. The most used accounts for 95.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤18995.9%
👍42.03%
🔥42.03%

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 32 of the 33 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 197 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 25 February 2026 to 19 October 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

Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

19 Oct 2026, 20:03 UTC≈1,290 views1 reactionsread 10 November 2026

Some useful Machine Learning projects for practice https://elitedatascience.com/machine-learning-projects-for-beginners https://hackernoon.com/top-5-machine-learning-projects-for-beginners-47b184e7837f https://www.springboard.com/blog/machine-learning-projects https://www.ubuntupit.com/top-20-best-machine-learning-projects-for-beginner-to-professional

❤1

9 Oct 2026, 19:23 UTC≈1,950 views7 reactionsread 10 November 2026

How to Build an Impressive Data Analysis Portfolio As a data analyst, your portfolio is your personal brand. It showcases not only your technical skills but also your ability to solve real-world problems. Having a strong, well-rounded portfolio can set you apart from other candidates and help you land your next job or freelance project. Here's how to build a portfolio that will impress potential employers or clien…

❤7

20 Sept 2026, 19:45 UTC≈2,530 views6 reactionsread 10 November 2026

🌐 Data Science Tools & Their Use Cases 📊🔍 🔹 Python ➜ Core language for scripting, analysis, and automation 🔹 Pandas ➜ Data manipulation, cleaning, and exploratory analysis 🔹 NumPy ➜ Numerical computations, arrays, and linear algebra 🔹 Scikit-learn ➜ Building ML models for classification and regression 🔹 TensorFlow ➜ Deep learning frameworks for neural networks 🔹 PyTorch ➜ Flexible ML research and dynamic computation…

❤5🔥1

19 Sept 2026, 05:28 UTC≈2,080 views1 reactionsread 10 November 2026
Video

🤖 GigaChat 3.5 Reasoning 🎯 Thinks before answering: breaks problems into stages, builds plans, and self-corrects 🎯 Explores multiple step-by-step reasoning paths for math & coding, using automated verification to reinforce correct answers 🎯 Autonomously decides when to call external tools or revise earlier steps 🎯 Highly token-efficient: uses 37% fewer tokens than DeepSeek V4 Flash Preview on math problems, thank…

❤1

14 Sept 2026, 07:29 UTC≈1,100 views3 reactionsread 10 November 2026

✅ Data Science Interview Questions with Answers Part-3 21. How do you handle missing values? Missing values are handled based on the reason and the impact on the problem. You first check whether data is missing at random or systematic. Common approaches include removing rows or columns if the missing percentage is small, imputing with mean, median, or mode for numerical data, using a separate category for missing va…

❤3

14 Sept 2026, 07:29 UTC690 views1 reactionsread 10 November 2026

✅ Data Science Interview Questions with Answers Part-2 11. What is the difference between mean, median, and mode? The mean is the average value calculated by dividing the sum of all values by the total count. The median is the middle value when data is sorted. The mode is the most frequently occurring value. Mean is sensitive to extreme values, while median handles outliers better. Mode is useful for categorical or…

❤1

14 Sept 2026, 07:29 UTC891 views5 reactionsread 10 November 2026

✅ Data Science Interview Questions with Answers Part-1 1. What is data science and how is it different from data analytics? Data science focuses on building predictive and decision-making systems using data. It uses statistics, machine learning, and domain knowledge to forecast outcomes or automate actions. Data analytics focuses on analyzing historical and current data to understand trends and performance. Analytic…

❤5

14 Sept 2026, 07:29 UTC691 views1 reactionsread 10 November 2026

10. What is bias in data and how does it affect models? Bias in data occurs when certain groups, patterns, or outcomes are overrepresented or underrepresented. This leads models to learn distorted relationships. Biased data produces unfair, inaccurate, or unreliable predictions. In real systems, this affects trust, compliance, and business outcomes, so bias detection and correction are critical. Double Tap ♥️ For Pa…

❤1

14 Sept 2026, 07:29 UTC≈2,010 views8 reactionsread 10 November 2026

✅ Data Science Interview Questions with Answers Part-4 • 31. Why is Python popular in data science? Python is popular because it is simple to read, easy to write, and fast to prototype. It has strong libraries for data analysis, machine learning, and visualization. It integrates well with databases, cloud platforms, and production systems. This makes it practical for both experimentation and deployment. • 32. Diffe…

❤8

14 Sept 2026, 07:05 UTC681 views2 reactionsread 10 November 2026

Deployment and Real-World Practice 91. What is model deployment? 92. What is batch vs real-time prediction? 93. What is model drift? 94. How do you monitor model performance? 95. What is feature store? 96. What is experiment tracking? 97. How do you explain model predictions? 98. What is data versioning? 99. How do you handle failed models? 100. How do you communicate results to non-technical stakeholders? Double Ta…

❤2

14 Sept 2026, 07:05 UTC960 views4 reactionsread 10 November 2026

Top 100 Data Science Interview Questions ✅ Data Science Basics 1. What is data science and how is it different from data analytics? 2. What are the key steps in a data science lifecycle? 3. What types of problems does data science solve? 4. What skills does a data scientist need in real projects? 5. What is the difference between structured and unstructured data? 6. What is exploratory data analysis and why do you d…

❤4

13 Sept 2026, 05:47 UTC≈1,290 views3 reactionsread 10 November 2026

🚨 SURPRISE ALERT! 🚨 Stop paying full price on Udemy. Seriously. 💸 I built a bot that hunts down 100% FREE Udemy coupons 24/7 — while you sleep, eat, or scroll. 🎯 Here's the magic: 📚 Mini App catalog — every active free coupon in one place 🔔 Auto-push — new courses land straight in your chat 📢 Live channel — never miss a deal Why it matters? Most people pay $200+ for courses you can grab for $0 — if you know wher…

❤3

Showing the 12 most recent of 33 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.

Posts recorded as deleted after publishing

We recorded 1 post on @DataPortfolio as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
18 September 2026
Most recent seen missing
18 September 2026
Median time before seen missing
43 days
Seen missing in the last 30 days
0

Mentions

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.

Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
@learndataanalysis · 53,250
#1
Data Science Projects
@pythonspecialist · 56,410
#2
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,644
#3
SQL Programming Resources
@sqlanalyst · 76,328
#4
Data Analytics
@sqlspecialist · 110,370
#5
Data Science & Machine Learning
@datasciencefun · 77,697
#6
Artificial Intelligence
@machinelearning_deeplearning · 56,660
#7
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
@sqlproject · 39,505
#8
Power BI & Tableau Resources
@PowerBI_analyst · 55,653
#9
Data Analyst Interview Resources
@dataanalystinterview · 52,191
#10
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 60,007
#11
Python Programming Books
@dsabooks · 59,013
#12
Data Science & Machine Learning
@DataScienceInterviews · 27,525
#13
Coding Projects
@Programming_experts · 67,940
#14
Python for Data Analysts
@pythonanalyst · 51,486
#15
MS Excel for Data Analysis
@excel_analyst · 73,317
#16
Data Engineers
@sql_engineer · 11,283
#17
Python Projects & Resources
@pythondevelopersindia · 63,326
#18
ChatGPT & Free AI Resources
@learngpt · 38,954
#19
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 55,731
#20
Machine Learning
@MachineLearning9 · 41,912
#21
Coding Interview Resources
@crackingthecodinginterview · 51,890
#22
Udemy Free Courses | Coding | ChatGPT | AI Crypto | Microsoft Certificate | Artificial Intelligence
@udemy_free_courses_with_certi · 70,309
#23
AI & ML Papers
@PaperNexus · 34,361
#24
Startup & Business Ideas
@Learn_Startup · 33,066
#25
Python Courses & Resources
@Python53 · 51,262
#26
Machine Learning with Python
@CodeProgrammer · 68,478
#27
Learn Python Coding
@pythonRe · 40,901
#28
Coding & Data Science Resources
@codingfreebooks · 32,483
#29
Python Projects & Free Books
@pythonfreebootcamp · 40,266
#30
Python Interviews
@PythonInterviews · 28,729
#31
Computer Science Interview Books
@InterviewBooks · 40,355
#32
Web Development
@webdevcoursefree · 79,292
#33
Data Science Jobs
@datasciencej · 8,293
#34
Remote Jobs — Daily LinkedIn Picks 💼
@Jobs204 · 23,243
#35
AI Prompts | ChatGPT | Google Gemini | Claude
@aiindi · 60,146
#36
Machine learning books and papers
@Machine_learn · 24,035
#37
Data science/ML/AI
@datascience_bds · 14,048
#38
Web Development - HTML, CSS & JavaScript
@javascript_courses · 55,621
#39
Data Analytics
@DataAnalyticsX · 30,880
#40
AI Technology | Claude & ChatGPT Prompts
@aijobss · 14,117
#41
Coding & AI Resources
@leadcoding · 35,174
#42
ML - DS/DA/DE - AI [Jobs, InterviewPrep] 🇮🇳
@ml_ds_ai_jobs · 25,720
#43
AI.News.Daily
@ainews_daily · 4,068
#44
Data Science
@datascienceiot · 42,496
#45
Web Development & Javascript Notes - Frontend Resources
@webdevelopmentbook · 32,464
#46
Programming, data science, ML - free courses by Big Data Specialist
@bigdataspecialist · 26,239
#47
Cloud Engineers | AWS | Azure | GCP Devops Notes
@AWS_GCP_Azure · 5,752
#48
Data Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,387
#49
Data Visualization
@data_visualization_bds · 6,274
#50
Data Science
@sql_databases · 70,688
#51
Job Interview Preparation - Remote Work
@jobinterviewsprep · 27,635
#52
Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning
@aichads · 22,825
#53
Artificial Intelligence && Deep Learning
@DeepLearning_ai · 56,955
#54
Data Science & Machine Learning Free Resources
@datascience69 · 20,402
#55
Data Engineering & AI | Apache Spark
@ApacheSparkDevelopers · 7,893
#56
Always Free Udemy Courses
@AlwaysFreeUdemyCourses · 18,224
#57
Machine Learning And AI
@geekycod · 1,781
#58
Data Analyst Jobs
@jobs_SQL · 91,004
#59
Jobs | Internships | Placement | Interviews
@getjobss · 112,921
#60
Artificial Intelligence & ChatGPT Prompts
@Curiousprogrammer · 41,965
#61
Learn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,472
#62
Finance, Investing & Stock Marketing
@stockmarketinginsights · 25,908
#63
Generative AI
@generativeai_gpt · 31,022
#64
TrueMinds | Personality Development - Words of Wisdom & Life Quotes
@trueminds · 27,259
#65
Software Developer Jobs & IT Internships
@internshiptojobs · 48,365
#66
AI - Artificial Intelligence
@aineeringdotcom · 16,061
#67
Finance, Trading & Stock Marketing Books
@BestFinanceBooks · 25,065
#68
Finance | Trading Tips | Stock Marketing | Business News
@Finance_Stock_Trading · 23,020
#69
Engineering Programs and Mobile Apps
@ProgramsStore · 15,144
#70
AI and Machine Learning
@machine_learning_courses · 96,444
#71
Programing Resources: Python - Java - R - SQL - Javascript - C++
@the_programming_girls · 30,242
#72
Remote Python Jobs: Find your dream remote Python job!
@remote_python_jobs · 5,075
#73
Power BI Developer
@powerbi_sql_analyst · 6,782
#74
Remote AI/ML/Data Science Jobs
@remote_ai_jobs · 8,519
#75
Health Fitness & Diet Tips - Gym Motivation 💪
@HealthFitnessGymTips · 19,807
#76
Artificial Intelligence / Deep & Machine Learning (Data Science)
@DataLearning_101 · 14,947
#77
Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
@FAANGJob · 26,859
#78
Data science research papers
@data_science_research_papers · 3,234
#79
Web Development
@web_dev_bds · 4,433
#80
Crypto Trends
@Bitcoin_Crypto_Web · 22,967
#81
AI Post — Artificial Intelligence
@aipost · 667,197
#82
Coding Interview Preparation
@coding_interview_preparation · 5,852
#83

Read from Telegram’s recommendation API, most recently 31 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.

Power BI & Tableau Resources
@PowerBI_analyst · 55,653
Telegram ranks this channel #9 of 84 here — alongside 83 others — read 23 August 2026
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
@sqlproject · 39,505
Telegram ranks this channel #10 of 84 here — alongside 83 others — read 30 August 2026
Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
@learndataanalysis · 53,250
Telegram ranks this channel #11 of 83 here — alongside 82 others — read 24 August 2026
Data Science & Machine Learning
@DataScienceInterviews · 27,525
Telegram ranks this channel #12 of 86 here — alongside 85 others — read 10 September 2026
CloudyML - Data Science & Analytics
@cloudymlofficial · 46,614
Telegram ranks this channel #12 of 88 here — alongside 87 others — read 26 August 2026
SQL Programming Resources
@sqlanalyst · 76,328
Telegram ranks this channel #12 of 85 here — alongside 84 others — read 19 August 2026
Data Science & Machine Learning Free Resources
@datascience69 · 20,402
Telegram ranks this channel #13 of 82 here — alongside 81 others — read 27 September 2026
Data Analyst Interview Resources
@dataanalystinterview · 52,191
Telegram ranks this channel #13 of 85 here — alongside 84 others — read 24 August 2026
MS Excel for Data Analysis
@excel_analyst · 73,317
Telegram ranks this channel #13 of 84 here — alongside 83 others — read 20 August 2026
Python for Data Analysts
@pythonanalyst · 51,486
Telegram ranks this channel #16 of 82 here — alongside 81 others — read 24 August 2026
Data Science Projects
@pythonspecialist · 56,410
Telegram ranks this channel #16 of 89 here — alongside 88 others — read 23 August 2026
Data Science & Machine Learning Resources
@datalemur · 20,682
Telegram ranks this channel #17 of 72 here — alongside 71 others — read 26 September 2026
Startup & Business Ideas
@Learn_Startup · 33,066
Telegram ranks this channel #17 of 81 here — alongside 80 others — read 4 September 2026
Data Analytics
@sqlspecialist · 110,370
Telegram ranks this channel #17 of 83 here — alongside 82 others — read 14 August 2026
Learn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,472
Telegram ranks this channel #18 of 80 here — alongside 79 others — read 29 August 2026
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 60,007
Telegram ranks this channel #18 of 82 here — alongside 81 others — read 23 August 2026
Coding & AI Resources
@leadcoding · 35,174
Telegram ranks this channel #20 of 79 here — alongside 78 others — read 2 September 2026
Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert
@free4unow_backup · 74,272
Telegram ranks this channel #21 of 78 here — alongside 77 others — read 30 September 2026
Kaggle Data Hub
@datasets1 · 29,277
Telegram ranks this channel #21 of 84 here — alongside 83 others — read 9 September 2026
Health Fitness & Diet Tips - Gym Motivation 💪
@HealthFitnessGymTips · 19,807
Telegram ranks this channel #22 of 77 here — alongside 76 others — read 30 September 2026
Python Interviews
@PythonInterviews · 28,729
Telegram ranks this channel #23 of 86 here — alongside 85 others — read 9 September 2026
Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning
@aichads · 22,825
Telegram ranks this channel #24 of 87 here — alongside 86 others — read 19 September 2026
Remote Jobs — Daily LinkedIn Picks 💼
@Jobs204 · 23,243
Telegram ranks this channel #25 of 80 here — alongside 79 others — read 20 September 2026
Data Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,387
Telegram ranks this channel #25 of 83 here — alongside 82 others — read 10 September 2026

This channel appears in 73 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence” (@DataPortfolio), 37,776 subscribers as measured 10 November 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.