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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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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 13 674 subscribers, ranking 9 377 in the Technologies & Applications category and 31 635 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 13 674 subscribers.

According to the latest data from 09 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 155 over the last 30 days and by 5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.03%. Within the first 24 hours after publication, content typically collects 2.25% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 098 views. Within the first day, a publication typically gains 308 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 10 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.

13 674
Subscribers
+524 hours
+197 days
+15530 days
Posts Archive
Data Lake vs Data Warehouse
Data Lake vs Data Warehouse

How to Get a Data Science Job Without Experience Stand out as a candidate, make recruiters call YOU and get your first data science job Rating ⭐️: 4.4 out 5 Students πŸ‘¨β€πŸŽ“ : 4,257 Duration ⏰ : 36min on-demand video Created by πŸ‘¨β€πŸ«: Emmanuel Maggiori πŸ”— Course Link #Data_Science βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

5 Data Analytics Project Ideas for your Resume
5 Data Analytics Project Ideas for your Resume

scikit-learn scikit-learn: machine learning in Python Creator: scikit-learn Stars ⭐️: 57k Forked By: 25k https://github.com/scikit-learn/scikit-learn #machine #learning #datascience #scikit βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Top Data Analytical Skills Employers Want in 2024
Top Data Analytical Skills Employers Want in 2024

Exploratory Data Analysis ( EDA)
Exploratory Data Analysis ( EDA)

Do you enjoy reading this channel? Perhaps you have thought about placing ads on it? To do this, follow three simple steps: 1) Sign up: https://telega.io/c/datascience_bds 2) Top up the balance in a convenient way 3) Create an advertising post If the topic of your post fits our channel, we will publish it with pleasure.

Statistical Decision Making in Data Science with Case Study Understand how Statistics is Applied to Data Science Problem like ANOVA, t-test, F-test in Python Rating ⭐️: 4.3 out 5 Students πŸ‘¨β€πŸŽ“ : 18,612 Duration ⏰ : 52min on-demand video Created by πŸ‘¨β€πŸ«: Data Science Anywhere, Sudhir G, Convolution Innovations πŸ”— Course Link #Data_Science #python βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Power BI vs Tableau
Power BI vs Tableau

keras Deep Learning for humans Creator: Keras Stars ⭐️: 60.1k Forked By: 19.5k https://github.com/keras-team/keras #deep #learning #datascience #keras βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Python Libraries Every Data Scientist Should Know
Python Libraries Every Data Scientist Should Know

4 Types of Data Analytics
4 Types of Data Analytics

8 Data Architect Skills
8 Data Architect Skills

Explore, Track, Predict the ISS in Realtime With Python Where is the International Space Station, Who's On It? Let's Build a Web App to Find out with Python and Data Science Rating ⭐️: 4.8 out 5 Students πŸ‘¨β€πŸŽ“ : 11,783 Duration ⏰ : 1hr 13min on-demand video Created by πŸ‘¨β€πŸ«: Manuel Amunategui πŸ”— Course Link #Data_Science #python #ISS βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

AI Agents - Build and Host LLM Apps At Scale
AI Agents - Build and Host LLM Apps At Scale

YouTube Channels for Business Analyst
YouTube Channels for Business Analyst

Data-Scientist-In-Python This repository contains notes and projects of Data scientist track from dataquest course work. Creator: Anshu Trivedi Stars ⭐️: 55 Forked By: 30 https://github.com/AnshuTrivedi/Data-Scientist-In-Python #machine #learning #datascience #python βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Data Science for Beginners: Your Step-by-Step Guide To Start Mastering Excel & MySQL with Board Infinity: For Aspiring Data Scientists: Diving Deep into Spreadsheets & Databases Rating ⭐️: 4.1 out 5 Students πŸ‘¨β€πŸŽ“ : 6,015 Duration ⏰ : 1hr 57min on-demand video Created by πŸ‘¨β€πŸ«: Board Infinity πŸ”— Course Link #Data_Science βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

The Foundation of Data Science
The Foundation of Data Science

Deep Learning for Beginners Deep Learning: A Visual Approach