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Channel

Machine Learning College Projects

@cseprojectts

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

3,660subscribers

-55 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001206134335
TypeChannel
Username@cseprojectts
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live25 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/cseprojectts

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 14 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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

3,6603,7163,68814 August 2026 — 3,715 subscribers14 August 2026 — 3,716 subscribers18 August 2026 — 3,709 subscribers21 August 2026 — 3,704 subscribers25 August 2026 — 3,701 subscribers28 August 2026 — 3,697 subscribers31 August 2026 — 3,691 subscribers4 September 2026 — 3,683 subscribers9 September 2026 — 3,679 subscribers13 September 2026 — 3,677 subscribers17 September 2026 — 3,671 subscribers25 September 2026 — 3,660 subscribers14 August 202625 September 2026
12 measurements spanning 43 days, net -55. 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 3,652–3,724 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Sept 2026, 22:173,660-11
17 Sept 2026, 12:383,671-6
13 Sept 2026, 13:413,677-2
9 Sept 2026, 22:163,679-4
4 Sept 2026, 10:213,683-8
31 Aug 2026, 16:383,691-6
28 Aug 2026, 06:133,697-4
25 Aug 2026, 05:283,701-3
21 Aug 2026, 19:273,704-5
18 Aug 2026, 07:043,709-7
14 Aug 2026, 23:153,716+1
14 Aug 2026, 03:513,715first reading

Engagement

20 posts held, back to 1 March 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 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 30 July 2026. An engagement rate over an empty window would be a number about nothing.

Recent posts

30 Jul 2026, 19:46 UTC141 viewsread 14 August 2026

🔍 CodingDoor! Our Expertise Includes 🚀🚀 🤖 Machine Learning 🧠 Deep Learning 🐍 Python Programming 🌐 PySpark 🤖 Matlab ☁️ Azure Cloud 🐼 Pandas 🌐 Flask/Streamlit Applications 💻 HTML/CSS/JS/Bootstrap 📊 Data Science 🔧 MySQL (Databases) 🪿 PHP ☁️ AWS ❄️ Snowflake 🔧 DeVops CI/CD 📊 Power BI Dashboards 📞 WhatsApp: +91 8586951587 📡 Telegram: t.me/final_year_project 🎥 YouTube Playlist: https://youtube.com/playlist?list=PL0SZcNPp…

Signed CodingDoor

11 Jun 2026, 12:18 UTC449 viewsread 14 August 2026

🔍 CodingDoor! Our Expertise Includes 🚀🚀 🤖 Machine Learning 🧠 Deep Learning 🐍 Python Programming 🌐 PySpark 🤖 Matlab ☁️ Azure Cloud 🐼 Pandas 🌐 Flask/Streamlit Applications 💻 HTML/CSS/JS/Bootstrap 📊 Data Science 🔧 MySQL (Databases) 🪿 PHP ☁️ AWS ❄️ Snowflake 🔧 DeVops CI/CD 📊 Power BI Dashboards 📞 WhatsApp: +91 8586951587 📡 Telegram: t.me/final_year_project 🎥 YouTube Playlist: https://youtube.com/playlist?list=PL0SZcNPp…

Signed CodingDoor

3 Jun 2026, 21:22 UTC476 viewsread 14 August 2026

🔍 CodingDoor! Our Expertise Includes 🚀🚀 🤖 Machine Learning 🧠 Deep Learning 🐍 Python Programming 🌐 PySpark 🤖 Matlab ☁️ Azure Cloud 🐼 Pandas 🌐 Flask/Streamlit Applications 💻 HTML/CSS/JS/Bootstrap 📊 Data Science 🔧 MySQL (Databases) 🪿 PHP ☁️ AWS ❄️ Snowflake 🔧 DeVops CI/CD 📊 Power BI Dashboards 📞 WhatsApp: +91 8586951587 📡 Telegram: t.me/final_year_project 🎥 YouTube Playlist: https://youtube.com/playlist?list=PL0SZcNPp…

Signed CodingDoor

18 May 2026, 16:43 UTC574 viewsread 14 August 2026

🚀 Hello from CodingDoor – Your Expert Hub for Data Science & AI-Driven Solutions! 📊 We specialize in end-to-end support for: 📚 Data Science Projects & Case Studies 🤖 Machine Learning & Deep Learning Solutions 💬 Large Language Models (LLMs) & Agentic AI 📈 Statistics, Linear Regression & Analytics 🐍 Python, PySpark, & Matlab Programming 💾 SQL & Database Projects (MySQL, Snowflake) 🌐 Flask, Streamlit, & Full-Stack Web…

Signed CodingDoor

12 Apr 2026, 20:17 UTC718 viewsread 14 August 2026
Forwarded from @final_year_project

https://youtu.be/_yoy7PN6d-o

Signed CodingDoor

12 Apr 2026, 20:17 UTC623 viewsread 14 August 2026
Forwarded from @final_year_project

https://youtu.be/5ZOWNry8BLE?si=HWBIPpaMMNHm5-hw

Signed CodingDoor

12 Apr 2026, 20:17 UTC505 viewsread 14 August 2026
Forwarded from @final_year_project

https://youtu.be/VMbATRuutvA

Signed CodingDoor

12 Apr 2026, 20:17 UTC468 viewsread 14 August 2026
Forwarded from @final_year_project

https://youtu.be/KBPtDld3r8s

Signed CodingDoor

12 Apr 2026, 20:17 UTC388 viewsread 14 August 2026
Forwarded from @final_year_project

https://youtu.be/iP-ZpkUG_x8?si=66rCYrKaOIpP5JNS

Signed CodingDoor

12 Apr 2026, 20:17 UTC364 viewsread 14 August 2026
Forwarded from @final_year_project

https://youtu.be/wq3uumfjP_E?si=4OgW7YkL4GrXtFyt

Signed CodingDoor

12 Apr 2026, 20:17 UTC355 viewsread 14 August 2026
Forwarded from @final_year_project

https://youtu.be/YlcHTsrwn_s?si=fh7WtbE_K-gbRKGn

Signed CodingDoor

8 Apr 2026, 06:49 UTC404 viewsread 14 August 2026

🚀 Hello from CodingDoor – Your Expert Hub for Data Science & AI-Driven Solutions! 📊 We specialize in end-to-end support for: 📚 Data Science Projects & Case Studies 🤖 Machine Learning & Deep Learning Solutions 💬 Large Language Models (LLMs) & Agentic AI 📈 Statistics, Linear Regression & Analytics 🐍 Python, PySpark, & Matlab Programming 💾 SQL & Database Projects (MySQL, Snowflake) 🌐 Flask, Streamlit, & Full-Stack Web…

Signed CodingDoor

Showing the 12 most recent of 20 posts we hold for @cseprojectts. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

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.

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.

Sub4Sub | YouTube | Sub For Sub (sub4sub)
@tcs_infosys_cognizant_jobs · 73,004
Telegram ranks this channel #39 of 76 here — alongside 75 others — read 19 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“Machine Learning College Projects” (@cseprojectts), 3,660 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/cseprojectts.

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.