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

Network:Programming, data science, ML - free courses by Big Data Specialist India31 551 Technologies & Applications9 384...

📈 Analytical overview of Telegram channel Data science/ML/AI

Channel Data science/ML/AI (@datascience_bds) in the English language segment is an active participant. Currently, the community unites 13 690 subscribers, ranking 9 384 in the Technologies & Applications category and 31 551 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 690 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 150 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 8.13%. Within the first 24 hours after publication, content typically collects 2.20% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 112 views. Within the first day, a publication typically gains 301 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
Thematic interests: Content is focused on key topics such as panda, learning, row, api, ethic.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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...”

Thanks to the high frequency of updates (latest data received on 12 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

13 690

Subscribers

+1124 hours

+227 days

+15030 days

1 112

Post views

~ 30124 hours

~ 43548 hours

8.13%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

13 690

Amazing Hackthon Solved Data Science/ML Project Collection ⭐️ 167 https://github.com/analyticsindiamagazine/MachineHack/tree/master/Hackathon_Solutions

13 690

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

13 690

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/

13 690

super-cheatsheet-machine-learning-2.pdf1.26 MB

13 690

Data Preparation in SQL, with Cheat Sheet!

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

13 690

How to choose a database-type and technology for your project:

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

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

13 690

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

13 690

Free Tableau ebook for data visualization

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

13 690

One of the most comprehensive cheatsheets on Machine Learning and Data Science. It covers all the essential topics.

13 690

41 Essential Machine Learning Interview QnAs-1.pdf8.07 KB

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

13 690

Free ML crash course by Google https://developers.google.com/machine-learning/crash-course/

13 690

PDF from previous repository.

13 690

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

13 690

Machine learning.pdf5.31 MB

13 690

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