Data Analytics
رفتن به کانال در Telegram
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho
نمایش بیشتر
شبکه:📈 تحلیل کانال تلگرام Data Analytics
کانال Data Analytics (@dataanalyticsx) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 30 854 مشترک است و جایگاه 4 299 را در دسته فناوری و برنامه‌ها و رتبه 20 796 را در منطقه روسيا دارد.
📊 شاخص‌های مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 30 854 مشترک جذب کرده است.
بر اساس آخرین داده‌ها در تاریخ 25 اکتبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 545 و در ۲۴ ساعت گذشته برابر -4 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 5.03% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.57% واکنش نسبت به کل مشترکان کسب می‌کند.
- دسترسی پست‌ها: هر پست به طور میانگین 1 550 بازدید دریافت می‌کند. در اولین روز معمولاً 483 بازدید جمع‌آوری می‌شود.
- واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 2 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند sellerflash, buybox, buyer, chaos, effortless تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
Admin: @HusseinSheikho || @Hussein_Sheikho”
به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 26 اکتبر, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.
30 854
مشترکین
-424 ساعت
+817 روز
+54530 روز
آرشیو پست ها
30 855
Repost from Machine Learning
This repository contains Jupyter notebooks for the O'Reilly book "Transformers: The Definitive Guide."
It includes code for computer vision tasks, time series analysis, audio processing, and reinforcement learning.
https://github.com/Nicolepcx/transformers-the-definitive-guide
https://t.me/MachineLearning9 🤩
30 855
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30 855
Repost from Machine Learning with Python
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30 855
Repost from Machine Learning with Python
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🧲 The CSV lands at 11pm and the answer is due at 9am.
Load it, clean it, pivot it, plot it, then explain the plot to someone who will ask why the line dips in March.
Create your own AI agent inside Telegram in about a minute and run the whole pass through it.
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▫️ puts a small mini-app inside Telegram so your team can re-run the report without you
▫️ keeps your metric definitions in memory, so it stops asking what active means
▫️ voice in, voice out while your hands are on the keyboard
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30 855
Repost from Machine Learning with Python
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🚀 10 GitHub repositories that are gaining the most traction right now
Here's a fresh selection of projects that are experiencing significant growth and active discussion.
1. OpenAI Codex
An OpenAI coding agent for the terminal and development automation.
https://github.com/openai/codex
2. God's Eye View
OSINT and open geospatial data on an interactive 3D globe: aviation, satellites, and other sources.
https://github.com/bilawalsidhu/gods-eye-view
3. awesome-gpt-image-2
A large library of prompts, examples, and templates for GPT Image 2.
https://github.com/freestylefly/awesome-gpt-image-2
4. mattpocock/skills
Ready-made skills and workflows for coding agents that can be reused instead of using large prompts.
https://github.com/mattpocock/skills
5. Archify
Builds an interactive map of the codebase architecture: sequence, data flow, lifecycle, and component relationships.
https://github.com/tt-a1i/archify
6. Tailcat
A tool from Tailscale for directly connecting machines via WireGuard and NAT traversal.
https://github.com/tailscale/tailcat
7. Prime Agent
A self-improving coding agent for long, autonomous tasks.
https://github.com/PrimeIntellect-ai/prime-agent
8. Semantica
A graph-native infrastructure for storing context, relationships, and data provenance in AI systems.
https://github.com/semantica-agi/semantica
9. Cursor Plugins
The official repository of Cursor plugins: orchestration, code review, continual learning, and other agent functions.
https://github.com/cursor/plugins
10. AnyDoc
A tool from Firecrawl for converting documents into structured content for AI and RAG.
https://github.com/firecrawl/anydoc
📈 Looking at the overall trend for the week:
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