Data science/ML/AI

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Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

Red:Programming, data science, ML - free courses by Big Data Specialist India31 607 Tecnologías y Aplicaciones9 380...

📈 Análisis del canal de Telegram Data science/ML/AI

El canal Data science/ML/AI (@datascience_bds) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 13 685 suscriptores, ocupando la posición 9 380 en la categoría Tecnologías y Aplicaciones y el puesto 31 607 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 13 685 suscriptores.

Según los últimos datos del 10 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 143, y en las últimas 24 horas de 2, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 8.09%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.22% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 1 106 visualizaciones. En el primer día suele acumular 304 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 5.
Intereses temáticos: El contenido se centra en temas clave como panda, learning, row, api, ethic.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 11 junio, 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.

13 685

Suscriptores

+224 horas

+217 días

+14330 días

1 106

Visitas de la publicación

~ 30424 horas

~ 44448 horas

8.09%

Tasa de compromiso

~ 1

Mensajes por día

Ads index

beta

Archivo de publicaciones

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SQL Window Functions.pdf1.64 KB

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In a regression model, when does the model fit the data relatively well?

Anonymous voting

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🔥Best Data Science Hackathon Platforms 🔥 1) MachineHack https://machinehack.com/hackathons 2) Kaggle https://www.kaggle.com/competitions 3) HackerEarth https://www.hackerearth.com/challenges/ 4) DataHack https://datahack.analyticsvidhya.com/ 5) DrivenData https://www.drivendata.org/competitions/ 6) Techgig https://www.techgig.com/challenge ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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Data Science GitHub Repositories freeCodeCamp https://github.com/freeCodeCamp/freeCodeCamp Data Science For Beginners https://github.com/microsoft/Data-Science-For-Beginners The Open Source Data Science Masters https://github.com/datasciencemasters/ Free Data Science Books https://github.com/chaconnewu/free-data-science-books Data Science Curriculum https://github.com/ossu/data-science Awesome Data Science https://github.com/academic/awesome-datascience Data Science All Cheat Sheet https://github.com/yash42828/Data-Science--All-Cheat-Sheet Best of ML with Python https://github.com/ml-tooling/best-of-ml-python Data Science Interview Resources - Interview Questions https://github.com/rbhatia46/Data-Science-Interview-Resources #data_science #ml ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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🔥🔥Build GPT: from scratch, in code, spelled out🔥🔥. If you're a beginner interested in learning about Neural Networks, Andrej Karpathy Youtube-series on "Neural Networks: Zero to Hero" can introduce you to the basics of Neural Networks and language modeling. Already have this knowledge and want to do an amazing project?😍 His new course on how to build your own GPT!😱 from scratch is a must watch. Link: https://youtu.be/kCc8FmEb1nY Interesting not only for beginners, but for pro's as well to recap and grab new details #ai #deeplearning #neuralnetworks #gpt ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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LEETCODE SQL QUESTIONS WITH SOLUTIONS

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DON'T DO THESE DATA SCIENCE MISTAKES

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STATISTICS FOR DATA SCIENCE COURSE Complete Statistics for Data Science in 6 hrs by Krish Naik https://youtu.be/LZzq1zSL1bs #data_science #stat ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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https://t.me/datascience_bds

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Repost from Programming, data science, ML - free courses by Big Data Specialist

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Python Data Science Handbook https://jakevdp.github.io/PythonDataScienceHandbook/

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