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Data science/ML/AI

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 πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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Programming, data science, ML - free courses by Big Data SpecialistNetwork:Programming, data science, ML - free courses by Big Data SpecialistIndia28 819Technologies & Applications8 911

πŸ“ˆ 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 13 907 subscribers, ranking 8 911 in the Technologies & Applications category and 28 819 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 13 907 subscribers.

According to the latest data from 30 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 90 over the last 30 days and by 7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 7.35%. Within the first 24 hours after publication, content typically collects 2.05% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 022 views. Within the first day, a publication typically gains 285 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.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œData science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...”

Thanks to the high frequency of updates (latest data received on 31 August, 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.

13 905
Subscribers
+724 hours
+17 days
+9030 days
Posts Archive
Data science/ML/AI
Data science/ML/AI
13 907
The Only Probability Cheatsheet You'll Ever Need https://static1.squarespace.com/static/54bf3241e4b0f0d81bf7ff36/t/55e9494fe4b011aed10e48e5/1441352015658/probability_cheatsheet.pdf source: https://github.com/wzchen/probability_cheatsheet βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 907
https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12_toc.pdf

Data science/ML/AI
Data science/ML/AI
13 907
document.pdf1.23 MB

Data science/ML/AI
Data science/ML/AI
13 907
Pandas Basics Cheat Sheet Python For Data Science

Data science/ML/AI
Data science/ML/AI
13 907
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
13 907
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
13 907
super-cheatsheet-machine-learning-2.pdf1.26 MB

Data science/ML/AI
Data science/ML/AI
13 907
Data Preparation in SQL, with Cheat Sheet!
Data Preparation in SQL, with Cheat Sheet!

Data science/ML/AI
Data science/ML/AI
13 907
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
13 907
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
13 907
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
13 907
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. πŸ”— 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 πŸ”— https://dannjs.org
Dannjs - Easy Deep Neural Networks for the Web πŸ”— https://dannjs.org

Data science/ML/AI
Data science/ML/AI
13 907
Free Tableau ebook for data visualization

Data science/ML/AI
Data science/ML/AI
13 907
πŸ‘©β€πŸŽ“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
13 907
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
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41 Essential Machine Learning Interview QnAs-1.pdf8.07 KB

Data science/ML/AI
Data science/ML/AI
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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
13 907