وبینار دیتا ساینس در دنیای واقعی 🐈⬛📊 از مدلهای یادگیری ماشین تا خلق محصولات دادهمحور 🧬 🧪 💡 فکر میکنید دیتا ساینس فقط ساخت مدلهای پیشبینی است؟ ✅ در واقع، مدلها بهتنهایی ارزشی ایجاد نمیکنند؛ ارزش واقعی زمانی شکل میگیرد که به محصولات دادهمحور (Data Products) تبدیل شوند. 🎯 در این وبینار کوتاه میبینید: 🔴 یک Data Product چیست و چه تفاوتی با مدل Machine Learning دارد؟ 🔴 شرکتها چگونه از #داده برای ساخت محصول…

Channel
پروجکت دانشجویی🎓
@projectt_daneshjoo
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,569subscribers
-3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001470845900 |
|---|---|
| Type | Channel |
| Username | @projectt_daneshjoo |
| Created | Between 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/projectt_daneshjoo |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 17:45 | 1,569 | -3 |
| 6 Aug 2026, 18:01 | 1,572 | no change |
| 6 Aug 2026, 17:51 | 1,572 | first reading |
Engagement
20 posts held, back to 7 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.08%
- avg views ÷ 1,569 subscribers
- Avg views / post
- 17.0
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 20 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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (7 December 2025 – 6 August 2026) |
| Views total | 34 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 18:00 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.
Recent posts
🖊جهت ثبت آگهی درکانال به ادمین پیام دهید👇 ✅ بعد از پرداخت آگهی شما درج میشود
#انجام_دهنده ☄️ فوق لیسانس هوش مصنوعی - پشتیبانی حرفهای از شروع ، آموزش تا تحویل نهایی (بدون واسط) 🔖 ساختمان داده و الگوریتم - مبانی و فلوچارت 🔴 مهندسی نرم افزار - تحلیل طراحی سیستم 🔖 برنامه نویسی - برنامه سازی پیشرفته 🔴 پایگاه داده - شی گرایی - داده کاوی 🔖 یادگیری ماشین و یادگیری عمیق 🔴 پردازش تصویر و بینایی ماشین 🔖 مدار منطقی و سیستم دیجیتال 🔖 کامپایلر - نظریه زبان - معماری 🔴 میکروکنترلر - هوش مصنوعی 🔖 مباحث …
🖊جهت ثبت آگهی درکانال به ادمین پیام دهید👇 ✅ بعد از پرداخت آگهی شما درج میشود
💯ما تیمی برتر از دانشجویان ارشد و دکتری مهندسی مکانیک، برق، صنایع و عمران و .. هستیم اگر « تمرین ، پروژه و...» داشتین در خدمتیم. 📙ریاضیات: ریاضی۱و۲/ریاضی مهندسی/معادلات دیفرانسیل/محاسبات عددی/جبر خطی و ماتریس ها/مبانی ترکیبات/آنالیز ریاضی/ریاضیات گسسته/آمار۱و۲ومهندسی 📗مهندسی مکانیک و عمران: ترمودینامیک۱و۲/انتقال حرارت۱و۲/سیالات۱و۲/مقاومت مصالح۱و۲/استاتیک/ارتعاشات/دینامیک/طراحی اجزا ۱و۲/اجزای محدود/CFD/کنترل اتوماتیک/…
🖊جهت ثبت آگهی درکانال به ادمین پیام دهید👇 ✅ بعد از پرداخت آگهی شما درج میشود
🖊جهت ثبت آگهی درکانال به ادمین پیام دهید👇 ✅ بعد از پرداخت آگهی شما درج میشود
🖊جهت ثبت آگهی درکانال به ادمین پیام دهید👇 ✅ بعد از پرداخت آگهی شما درج میشود
🖊جهت ثبت آگهی درکانال به ادمین پیام دهید👇 ✅ بعد از پرداخت آگهی شما درج میشود
🖊جهت ثبت آگهی درکانال به ادمین پیام دهید👇 ✅ بعد از پرداخت آگهی شما درج میشود
🖥 دوره جامع تربیت تحلیلگر داده 🚀 برای پرواز به دنیای دادهها و تبدیل شدن به یک تحلیلگر داده آمادهاید؟ 📌 برخی از مخاطبان این دوره ☑️ دانشجویان و فارغ التحصیلان تحصیلات تکمیلی ☑️ کارشناسان و مدیران فعال در کسب و کارها ☑️ علاقمندان به کسب جایگاه شغلی خوب در داخل و خارج از کشور ☑️ فارغ التحصیلان که به دنبال کسب مزیت رقابتی در بازار کار هستند 🏛 موسسه توسعه 📌 مشاوره رایگان و مشاهده جزئیات دوره از لینک زیر: 📎 httb…
🖊جهت ثبت آگهی درکانال به ادمین پیام دهید👇 ✅ بعد از پرداخت آگهی شما درج میشود
Showing the 12 most recent of 20 posts we hold for @projectt_daneshjoo. 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
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“پروجکت دانشجویی🎓” (@projectt_daneshjoo), 1,569 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/projectt_daneshjoo.
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.