Channel

کالج علم داده | Data College

@DataScience_Function

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

444subscribers

-3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID	-1001831551435
Type	Channel
Username	@DataScience_Function
Created	Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	8 August 2026
Last confirmed live	14 August 2026
Measurements held	3
Confirmed unchanged	1 time, most recently 14 August 2026
On Telegram	t.me/DataScience_Function

Growth

3 measurements spanning 7 days, net -3. 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 444–447 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
14 Aug 2026, 16:57	444	-3
8 Aug 2026, 05:03	447	no change
7 Aug 2026, 12:16	447	first reading

Engagement

20 posts held, back to 21 July 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 1 pageof 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 31 December 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

25 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 56.0% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
👍	14	56.0%
❤	10	40.0%
💯	1	4.00%

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 18 of the 20 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 25reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 21 July 2025 to 31 December 2025, 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

31 Dec 2025, 07:12 UTC123 views1 reactionsread 8 August 2026

Forwarded from @iekhuPhoto

LinkedIn Essentials 🔗 از پروفایل تا فرصت شغلی 🚀 با عرشیا احمدی 👤 بنیان‌گذار و مدیرعامل عرشیاکالا 💼 کارشناسی مهندسی صنایع | دانشگاه علم و صنعت 🎓 🗒 سرفصل‌ها: • آشنایی کامل با محیط لینکدین 🧭 • ساخت قدم‌به‌قدم پروفایل All Star ⭐ • کانکشن‌گیری و ایجاد ارتباط مؤثر 🤝 • بهینه‌سازی (SEO) پروفایل 🔍 • یافتن فرصت‌های شغلی و کارآموزی 💡 • نگارش و انتشار پست ✍️ • نکاتی برای بهتر دیده شدن 👀 • حفظ و انتقال شبکه‌سازی‌های خارج لینکدی…

❤1

20 Aug 2025, 05:30 UTC339 viewsread 8 August 2026

🔥 3 محور مانیتورینگ مدل در Production: ‏1️⃣ Data/Concept Drift با آزمون توزیع و افت متریک ‏2️⃣ Latency & Cost per Prediction روی هر سرویس ‏3️⃣ Error Analysis زنده (Segmentها، Outlierها) 💡 هشدار آستانه‌ای + ریترین خودکار = مدل سالم‌تر. 🔵 @DataScience_Function

19 Aug 2025, 15:53 UTCviews —

کالج علم داده | Data College pinned a photo

19 Aug 2025, 15:33 UTC287 views6 reactionsread 8 August 2026

Forwarded from @OptimyarPhoto

📚𝘿𝙖𝙩𝙖-𝘿𝙧𝙞𝙫𝙚𝙣 𝘿𝙚𝙘𝙞𝙨𝙞𝙤𝙣 𝙈𝙖𝙠𝙞𝙣𝙜 & 𝙍𝙤𝙗𝙪𝙨𝙩 𝙊𝙥𝙩𝙞𝙢𝙞𝙯𝙖𝙩𝙞𝙤𝙣 𝙫𝙞𝙖 𝙈𝙖𝙘𝙝𝙞𝙣𝙚 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 📊دوره آموزشی تصمیم‌گیری داده‌محور و بهینه‌سازی استوار با یادگیری ماشین و پایتون 👨‍💻 در سه سطح از پایه تا پیشرفته و کلاس جهانی ✍️ از آشنایی با مفاهیم پایه تصمیم‌گیری مبتنی بر یادگیری ماشین تا تکنیک‌های پیشرفته بهینه‌سازی استوار داده‌محور ... ✔️ با گواهی معتبر دو زبانه از انجمن مهندسی صنایع ایران IIIE 🤝با حمایت دانشگاه علم و صنعت ایران و آکاد…

👍3❤2💯1

19 Aug 2025, 05:33 UTC186 views1 reactionsread 8 August 2026

🔥 4 معیار درست برای ارزیابی کلاسه‌بندی نامتوازن: ‏1️⃣ PR-AUC بهتر از ROC-AUC وقتی کلاس مثبت کم‌یابه ‏2️⃣ F1 / F0.5 / F2 بسته به اهمیت Precision یا Recall ‏3️⃣ Balanced Accuracy برای دیتای با نسبت نامتوازن ‏4️⃣ Calibration Curve تا ببینی نمرهٔ احتمال واقعیه یا نه 💡 اول «چه چیزی» مهمه رو مشخص کن، بعد متریک رو انتخاب کن. 🔵 @DataScience_Function

❤1

13 Aug 2025, 05:30 UTC214 views1 reactionsread 8 August 2026

🔥 3 ابزار رایگان برای جمع‌آوری داده‌های با کیفیت: ‏🟡 Kaggle Datasets برای دیتای آماده ‏🟡 Google Forms + API برای نظرسنجی سفارشی ‏🟡 Open Data Portals (مثلاً data.gov) 💡 داده‌های خوب از هیچ شروع نمی‌شن؛ منابع رو بلد باش. 🔵 @DataScience_Function

👍1

12 Aug 2025, 06:03 UTC204 views2 reactionsread 8 August 2026

🔥 3 روش اعتبارسنجی مطمئن برای سری‌های زمانی (Time Series CV): ‏🟡 Expanding Window: هر بار دادهٔ آموزش بزرگ‌تر می‌شود، افق پیش‌بینی ثابت می‌ماند. ‏ 🟡 Sliding Window: پنجرهٔ ثابت، به‌صورت لغزان روی زمان حرکت می‌کند. ‏🟡 Blocked K-Fold: تاهای زمانیِ پشت‌سرهم بدون قاطی‌شدن گذشته و آینده. 🔔 با CV زمان‌محور، از نشت آینده جلوگیری کن و برآورد واقع‌بینانه بگیر! 🔵 @DataScience_Function

❤1👍1

11 Aug 2025, 05:30 UTC214 views2 reactionsread 8 August 2026

🔥 3 نشانهٔ Data Leakage که مدل رو فریب می‌ده 1️⃣ فیچرهایی که بعد از رخداد برچسب جمع‌آوری شدن (آینده در دادهٔ گذشته!) 2️⃣ اشتراک شناسه/ردپای کاربر بین Train و Test (نشت هویتی) 3️⃣ پیش‌پردازش روی کل دیتا قبل از Split (میانگین/نرمال‌سازی مشترک) 💡 قبل از آموزش، نشت رو ببند—وگرنه دقتِ ظاهری، تو تولید دود می‌شه! 🔵 @DataScience_Function

❤1👍1

9 Aug 2025, 05:32 UTC227 views1 reactionsread 8 August 2026

🔥 3 ابزار رایگان برای جمع‌آوری داده‌های با کیفیت: ‏🟡 Kaggle Datasets برای دیتای آماده ‏🟡 Google Forms + API برای نظرسنجی سفارشی ‏🟡 Open Data Portals (مثلاً data.gov) 🔔 داده‌های خوب از هیچ شروع نمی‌شن؛ منابع رو بلد باش. 🔵 @DataScience_Function

👍1

6 Aug 2025, 05:30 UTC185 views1 reactionsread 8 August 2026

🔥 3 ابزار رایگان برای جمع‌آوری داده‌های با کیفیت: ‏🟡 Kaggle Datasets برای دیتای آماده ‏ Google Forms + API برای نظرسنجی سفارشی ‏🟡 Open Data Portals (مثلاً data.gov) ⚠️ داده‌های خوب از هیچ شروع نمی‌شن؛ منابع رو بلد باش. 🔵 @DataScience_Function

👍1

5 Aug 2025, 05:33 UTC193 views1 reactionsread 8 August 2026

🔥 4 اشتباه رایج در Feature Engineering: 🟡 استفاده از تمام فیچرها بدون انتخاب 🟡 نساختن تعاملات معنادار (Feature Interaction) 🟡 نادیده گرفتن زمان/سری زمانی در داده‌های ترتیبی 🟡 نرمال‌سازی نادرست قبل از تقسیم Train/Test 😵 فیچر خوب، نیمی از مدل خوبه. 🔵 @DataScience_Function

❤1

4 Aug 2025, 05:34 UTC190 views1 reactionsread 8 August 2026

🔥 3 روش سریع برای ارزیابی مدل بدون دیتای جدید: ‏🟡 Cross-Validation به‌جای یک تقسیم ساده ‏🟡 Learning Curve برای دیدن under/overfit بودن ‏🟡 Permutation Feature Importance برای فهم اینکه کدوم فیچر واقعا اثر داره 🔍 مدل بدون فهم درست از رفتار، فقط شانسه—این سه تا رو حتما اجرا کن! 🔵 @DataScience_Function

👍1

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

انجمن علمی مهندسی صنایع دانشگاه خوارزمی
@iekhu · 2,5841 post 📘 Optimyar | آپتیم‌یار
@Optimyar · 4,8731 post

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.

📘 Optimyar | آپتیم‌یار
@Optimyar · 4,8731 post

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“کالج علم داده | Data College” (@DataScience_Function), 444 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/DataScience_Function.

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.