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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

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Programming, data science, ML - free courses by Big Data SpecialistRed:Programming, data science, ML - free courses by Big Data SpecialistIndia31 551Tecnologías y Aplicaciones9 384

📈 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 13 690 suscriptores, ocupando la posición 9 384 en la categoría Tecnologías y Aplicaciones y el puesto 31 551 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 13 690 suscriptores.

Según los últimos datos del 11 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 150, y en las últimas 24 horas de 11, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 8.13%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.20% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 112 visualizaciones. En el primer día suele acumular 301 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 12 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.

13 690
Suscriptores
+1124 horas
+227 días
+15030 días
Archivo de publicaciones
Data science/ML/AI
Data science/ML/AI
13 690
Amazing Hackthon Solved Data Science/ML Project Collection ⭐️ 167 https://github.com/analyticsindiamagazine/MachineHack/tree/master/Hackathon_Solutions

Data science/ML/AI
Data science/ML/AI
13 690
Photoshop detector AI called FALDetector aims to detect facial edits that warps the faces to make chin or jaw looks thinner,
Photoshop detector AI called FALDetector aims to detect facial edits that warps the faces to make chin or jaw looks thinner, or the forehead smaller. However, it is not really accurate and consistent as it look at the individual pixels too much, as different resolution of the same person can result in different predictions with this AI model. FALDetector: Github: https://github.com/peterwang512/FALdetector Project page: https://peterwang512.github.io/FALdetector/ Installation tutorial: https://www.youtube.com/watch?v=fZSWAsjwQpE Paper: https://arxiv.org/pdf/1906.05856.pdf

Data science/ML/AI
Data science/ML/AI
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Gently down the stream A gentle introduction to Apache Kafka Written and illustrated by Mitch Seymor Learn about Kafka in a way i am sure you haven't seen before 😊 https://www.gentlydownthe.stream/

Data science/ML/AI
Data science/ML/AI
13 690
super-cheatsheet-machine-learning-2.pdf1.26 MB

Data science/ML/AI
Data science/ML/AI
13 690
Data Preparation in SQL, with Cheat Sheet!
Data Preparation in SQL, with Cheat Sheet!

Data science/ML/AI
Data science/ML/AI
13 690
Deep learning with Python: ⭐️ 12.9k https://github.com/fchollet/deep-learning-with-python-notebooks Join @github_repositories_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
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How to choose a database-type and technology for your project:
How to choose a database-type and technology for your project:

Data science/ML/AI
Data science/ML/AI
13 690
Machine Learning University: Accelerated Natural Language Processing Class 1.6k stars 368 forks https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp Join @github_repositories_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 690
Fully Connected Neural Networks with Keras n this course, we'll build three different neural networks with Keras, using Tensorflow for the backend. Keras is a high level API for building neural networks, and makes it very easy to get started with only a few lines of code. 🔗 Neural Networks with Keras free course link

Data science/ML/AI
Data science/ML/AI
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Dannjs - Easy Deep Neural Networks for the Web 🔗 https://dannjs.org
Dannjs - Easy Deep Neural Networks for the Web 🔗 https://dannjs.org

Data science/ML/AI
Data science/ML/AI
13 690
Free Tableau ebook for data visualization

Data science/ML/AI
Data science/ML/AI
13 690
👩‍🎓Online lectures on Special Topics in AI: Deep Learning Fresh free and open playlist on special topics in #DL from University of Wisconsin-Madison. Topics covering reliable deep learning, generalization, learning with less supervision, lifelong learning, deep generative models and more. Overview Lecture: https://www.youtube.com/watch?v=6LSErxKe634&list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii YouTube Playlist: https://www.youtube.com/playlist?list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii Syllabus: http://pages.cs.wisc.edu/~sharonli/courses/cs839_fall2020/schedule.html #wheretostart #lectures #YouTube

Data science/ML/AI
Data science/ML/AI
13 690
One of the most comprehensive cheatsheets on Machine Learning and Data Science. It covers all the essential topics.

Data science/ML/AI
Data science/ML/AI
13 690
41 Essential Machine Learning Interview QnAs-1.pdf8.07 KB

Data science/ML/AI
Data science/ML/AI
13 690
Great GitHub repository containing many Google colabs with latest's Deep Learning Models *Text-to-speach *Speech recognition *Object detection *Pose detection *Segmentation *GANs https://github.com/tugstugi/dl-colab-notebooks

Data science/ML/AI
Data science/ML/AI
13 690

Data science/ML/AI
Data science/ML/AI
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PDF from previous repository.

Data science/ML/AI
Data science/ML/AI
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GitHub repo containing machine learning cheatsheet with code: https://github.com/soulmachine/machine-learning-cheat-sheet 👉 @bigdataspecialist

Data science/ML/AI
Data science/ML/AI
13 690
Machine learning.pdf5.31 MB

Data science/ML/AI
Data science/ML/AI
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Core machine learning concepts explained through memes and simple charts. This 120-pages pdf document is created by Mihail Eric.