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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 · Citations · Telegram's recommendations · Cite this entry

38,028subscribers

+202 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
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 live27 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 27 September 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 why it has no browse page of its own yet.

Growth

37,82238,06537,943.57 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 subscribers13 August 2026 — 37,866 subscribers14 August 2026 — 37,856 subscribers16 August 2026 — 37,837 subscribers17 August 2026 — 37,875 subscribers18 August 2026 — 37,897 subscribers19 August 2026 — 37,930 subscribers20 August 2026 — 37,920 subscribers21 August 2026 — 37,919 subscribers22 August 2026 — 37,935 subscribers24 August 2026 — 37,927 subscribers25 August 2026 — 37,925 subscribers27 August 2026 — 37,913 subscribers28 August 2026 — 37,906 subscribers29 August 2026 — 37,909 subscribers30 August 2026 — 37,952 subscribers31 August 2026 — 37,969 subscribers1 September 2026 — 38,002 subscribers2 September 2026 — 38,006 subscribers3 September 2026 — 38,007 subscribers5 September 2026 — 38,039 subscribers9 September 2026 — 38,065 subscribers11 September 2026 — 38,062 subscribers13 September 2026 — 38,063 subscribers15 September 2026 — 38,060 subscribers17 September 2026 — 38,054 subscribers27 September 2026 — 38,028 subscribers38,0287 August 202627 September 2026
32 measurements spanning 51 days, net +202. 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 37,786–38,101 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
27 Sept 2026, 03:2238,028-26
17 Sept 2026, 11:1938,054-6
15 Sept 2026, 11:4138,060-3
13 Sept 2026, 17:1638,063+1
11 Sept 2026, 22:1938,062-3
9 Sept 2026, 10:1738,065+26
5 Sept 2026, 23:2238,039+32
3 Sept 2026, 17:1938,007+1
2 Sept 2026, 07:0638,006+4
1 Sept 2026, 05:5538,002+33
31 Aug 2026, 06:2437,969+17
30 Aug 2026, 08:3537,952+43
29 Aug 2026, 07:1237,909+3
28 Aug 2026, 06:4837,906-7
27 Aug 2026, 06:4337,913-12
25 Aug 2026, 06:4637,925-2
24 Aug 2026, 10:1737,927-8
22 Aug 2026, 18:3337,935+16
21 Aug 2026, 11:3737,919-1
20 Aug 2026, 14:0837,920first reading

Engagement

31 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 91 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.85%
avg views ÷ 38,028 subscribers
Avg views / post
705
11 posts measured
Reaction rate
0.413%
reactions ÷ views · ER floor
Posts in window
11
of 31 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 20 September 2026
Posts held31 (25 February 2026 – 20 September 2026)
Views total7,754
Reactions total32
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 01:39 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

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

182 reactions across 30 posts, in 3 distinct kinds. The most used accounts for 96.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤17596.2%
🔥42.20%
👍31.65%

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 30 of the 31 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 182 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 25 February 2026 to 20 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

20 Sept 2026, 19:45 UTC693 views3 reactionsread 27 September 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…

❤2🔥1

19 Sept 2026, 05:28 UTC791 views1 reactionsread 27 September 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 UTC322 views1 reactionsread 27 September 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 UTC347 views3 reactionsread 27 September 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…

❤3

14 Sept 2026, 07:29 UTC≈1,150 views8 reactionsread 27 September 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, 07:29 UTC601 views3 reactionsread 27 September 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 UTC356 views1 reactionsread 27 September 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, 07:05 UTC430 views2 reactionsread 27 September 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 UTC607 views3 reactionsread 27 September 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…

❤3

13 Sept 2026, 05:47 UTC897 views3 reactionsread 27 September 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

6 Sept 2026, 20:22 UTC≈1,560 views4 reactionsread 27 September 2026

You know what DOESN'T matter? How you got started in data. Maybe you focused on a single tool. Maybe you learned Python before SQL. Maybe you thought you needed to know R. Maybe you only know Excel and that's all you need. Maybe you tried Power BI before deciding on Tableau. It doesn't matter how you get started - it matters how you continue. Do you... - provide insights that drive business decisions? - help sta…

❤4

7 Aug 2026, 21:17 UTC≈3,310 views12 reactionsread 27 September 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…

❤12

Showing the 12 most recent of 31 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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

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 · 53,262
#1
Data Science Projects
@pythonspecialist · 56,321
#2
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,434
#3
SQL Programming Resources
@sqlanalyst · 76,675
#4
Data Analytics
@sqlspecialist · 110,886
#5
Data Science & Machine Learning
@datasciencefun · 77,580
#6
Artificial Intelligence
@machinelearning_deeplearning · 55,794
#7
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
@sqlproject · 39,680
#8
Power BI & Tableau Resources
@PowerBI_analyst · 55,842
#9
Data Analyst Interview Resources
@dataanalystinterview · 52,609
#10
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 58,470
#11
Python Programming Books
@dsabooks · 59,137
#12
Data Science & Machine Learning
@DataScienceInterviews · 27,673
#13
Coding Projects
@Programming_experts · 67,682
#14
Python for Data Analysts
@pythonanalyst · 51,857
#15
MS Excel for Data Analysis
@excel_analyst · 72,836
#16
Data Engineers
@sql_engineer · 11,126
#17
Python Projects & Resources
@pythondevelopersindia · 63,430
#18
ChatGPT & Free AI Resources
@learngpt · 38,216
#19
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 56,038
#20
Machine Learning
@MachineLearning9 · 41,424
#21
Coding Interview Resources
@crackingthecodinginterview · 52,232
#22
Udemy Free Courses | Coding | ChatGPT | AI Crypto | Microsoft Certificate | Artificial Intelligence
@udemy_free_courses_with_certi · 70,681
#23
AI & ML Papers
@PaperNexus · 33,858
#24
Startup & Business Ideas
@Learn_Startup · 32,970
#25
Python Courses & Resources
@Python53 · 50,715
#26
Machine Learning with Python
@CodeProgrammer · 68,301
#27
Learn Python Coding
@pythonRe · 40,364
#28
Coding & Data Science Resources
@codingfreebooks · 32,555
#29
Python Projects & Free Books
@pythonfreebootcamp · 40,776
#30
Python Interviews
@PythonInterviews · 28,969
#31
Computer Science Interview Books
@InterviewBooks · 40,516
#32
Web Development
@webdevcoursefree · 79,578
#33
Data Science Jobs
@datasciencej · 8,316
#34
Remote Jobs — Daily LinkedIn Picks 💼
@Jobs204 · 22,576
#35
AI Prompts | ChatGPT | Google Gemini | Claude
@aiindi · 58,966
#36
Machine learning books and papers
@Machine_learn · 24,295
#37
Data science/ML/AI
@datascience_bds · 13,926
#38
Web Development - HTML, CSS & JavaScript
@javascript_courses · 55,698
#39
Data Analytics
@DataAnalyticsX · 30,208
#40
AI Technology | Claude & ChatGPT Prompts
@aijobss · 13,777
#41
Coding & AI Resources
@leadcoding · 35,444
#42
ML - DS/DA/DE - AI [Jobs, InterviewPrep] 🇮🇳
@ml_ds_ai_jobs · 25,932
#43
AI.News.Daily
@ainews_daily · 3,926
#44
Data Science
@datascienceiot · 42,634
#45
Web Development & Javascript Notes - Frontend Resources
@webdevelopmentbook · 32,466
#46
Programming, data science, ML - free courses by Big Data Specialist
@bigdataspecialist · 26,486
#47
Cloud Engineers | AWS | Azure | GCP Devops Notes
@AWS_GCP_Azure · 5,465
#48
Data Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,546
#49
Data Visualization
@data_visualization_bds · 6,314
#50
Data Science
@sql_databases · 70,599
#51
Job Interview Preparation - Remote Work
@jobinterviewsprep · 27,626
#52
Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning
@aichads · 22,944
#53
Artificial Intelligence && Deep Learning
@DeepLearning_ai · 57,432
#54
Data Science & Machine Learning Free Resources
@datascience69 · 20,492
#55
Data Engineering & AI | Apache Spark
@ApacheSparkDevelopers · 7,803
#56
Always Free Udemy Courses
@AlwaysFreeUdemyCourses · 18,460
#57
Machine Learning And AI
@geekycod · 1,764
#58
Data Analyst Jobs
@jobs_SQL · 91,421
#59
Jobs | Internships | Placement | Interviews
@getjobss · 113,437
#60
Artificial Intelligence & ChatGPT Prompts
@Curiousprogrammer · 42,238
#61
Learn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,600
#62
Finance, Investing & Stock Marketing
@stockmarketinginsights · 25,970
#63
Generative AI
@generativeai_gpt · 30,777
#64
TrueMinds | Personality Development - Words of Wisdom & Life Quotes
@trueminds · 27,344
#65
Software Developer Jobs & IT Internships
@internshiptojobs · 48,447
#66
AI - Artificial Intelligence
@aineeringdotcom · 16,029
#67
Finance, Trading & Stock Marketing Books
@BestFinanceBooks · 25,148
#68
Finance | Trading Tips | Stock Marketing | Business News
@Finance_Stock_Trading · 23,207
#69
Engineering Programs and Mobile Apps
@ProgramsStore · 15,417
#70
AI and Machine Learning
@machine_learning_courses · 95,724
#71
Programing Resources: Python - Java - R - SQL - Javascript - C++
@the_programming_girls · 30,491
#72
Remote Python Jobs: Find your dream remote Python job!
@remote_python_jobs · 4,955
#73
Power BI Developer
@powerbi_sql_analyst · 6,794
#74
Remote AI/ML/Data Science Jobs
@remote_ai_jobs · 8,179
#75
Health Fitness & Diet Tips - Gym Motivation 💪
@HealthFitnessGymTips · 19,780
#76
Artificial Intelligence / Deep & Machine Learning (Data Science)
@DataLearning_101 · 14,877
#77
Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
@FAANGJob · 26,890
#78
Data science research papers
@data_science_research_papers · 3,195
#79
Web Development
@web_dev_bds · 4,373
#80
Crypto Trends
@Bitcoin_Crypto_Web · 23,194
#81
AI Post — Artificial Intelligence
@aipost · 700,241
#82
Coding Interview Preparation
@coding_interview_preparation · 5,909
#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 · 55,842
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 · 39,680
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 · 53,262
Telegram ranks this channel #11 of 83 here — alongside 82 others — read 24 August 2026
Data Science & Machine Learning
@DataScienceInterviews · 27,673
Telegram ranks this channel #12 of 86 here — alongside 85 others — read 10 September 2026
CloudyML - Data Science & Analytics
@cloudymlofficial · 47,680
Telegram ranks this channel #12 of 88 here — alongside 87 others — read 26 August 2026
SQL Programming Resources
@sqlanalyst · 76,675
Telegram ranks this channel #12 of 85 here — alongside 84 others — read 19 August 2026
Data Analyst Interview Resources
@dataanalystinterview · 52,609
Telegram ranks this channel #13 of 85 here — alongside 84 others — read 24 August 2026
MS Excel for Data Analysis
@excel_analyst · 72,836
Telegram ranks this channel #13 of 84 here — alongside 83 others — read 20 August 2026
Python for Data Analysts
@pythonanalyst · 51,857
Telegram ranks this channel #16 of 82 here — alongside 81 others — read 24 August 2026
Data Science Projects
@pythonspecialist · 56,321
Telegram ranks this channel #16 of 89 here — alongside 88 others — read 23 August 2026
Data Science & Machine Learning Resources
@datalemur · 20,794
Telegram ranks this channel #17 of 72 here — alongside 71 others — read 26 September 2026
Startup & Business Ideas
@Learn_Startup · 32,970
Telegram ranks this channel #17 of 81 here — alongside 80 others — read 4 September 2026
Data Analytics
@sqlspecialist · 110,886
Telegram ranks this channel #17 of 83 here — alongside 82 others — read 14 August 2026
Learn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,600
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 · 58,470
Telegram ranks this channel #18 of 82 here — alongside 81 others — read 23 August 2026
Coding & AI Resources
@leadcoding · 35,444
Telegram ranks this channel #20 of 79 here — alongside 78 others — read 2 September 2026
Kaggle Data Hub
@datasets1 · 29,023
Telegram ranks this channel #21 of 84 here — alongside 83 others — read 9 September 2026
Python Interviews
@PythonInterviews · 28,969
Telegram ranks this channel #23 of 86 here — alongside 85 others — read 9 September 2026
Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning
@aichads · 22,944
Telegram ranks this channel #24 of 87 here — alongside 86 others — read 19 September 2026
Remote Jobs — Daily LinkedIn Picks 💼
@Jobs204 · 22,576
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 · 27,546
Telegram ranks this channel #25 of 83 here — alongside 82 others — read 10 September 2026
Computer Science Interview Books
@InterviewBooks · 40,516
Telegram ranks this channel #25 of 78 here — alongside 77 others — read 30 August 2026
Finance, Trading & Stock Marketing Books
@BestFinanceBooks · 25,148
Telegram ranks this channel #26 of 77 here — alongside 76 others — read 14 September 2026
Python Projects & Free Books
@pythonfreebootcamp · 40,776
Telegram ranks this channel #26 of 78 here — alongside 77 others — read 30 August 2026

This channel appears in 69 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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence” (@DataPortfolio), 38,028 subscribers as measured 27 September 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.