Data Analytics
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Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho
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Red:📈 Análisis del canal de Telegram Data Analytics
El canal Data Analytics (@dataanalyticsx) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 30 854 suscriptores, ocupando la posición 4 299 en la categoría Tecnologías y Aplicaciones y el puesto 20 796 en la región Rusia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 30 854 suscriptores.
Según los últimos datos del 25 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 545, y en las últimas 24 horas de -4, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.03%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.57% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 550 visualizaciones. En el primer día suele acumular 483 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
- Intereses temáticos: El contenido se centra en temas clave como sellerflash, buybox, buyer, chaos, effortless.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 26 octubre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
30 854
Suscriptores
-424 horas
+817 días
+54530 días
Archivo de publicaciones
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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▫️ send a screenshot of a dashboard and ask what changed
▫️ 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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30 855
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Browse offers from different stores, find interesting discounts, and save the products you like all in one simple Telegram Mini App.
New deals are added regularly, so there’s always something new to discover.
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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:
AI agents → agent skills → memory and context → visualization of architecture → tools for autonomous work with the environment
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