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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 9 380 in the Technologies & Applications category and 31 607 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 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 143 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.09%. Within the first 24 hours after publication, content typically collects 2.22% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 106 views. Within the first day, a publication typically gains 304 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 11 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
+224 hours
+217 days
+14330 days
Posts Archive
Python Data Science Handbook Python Data Science Handbook: full text in Jupyter Notebooks. This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks. Creator: Jake Vanderplas Stars⭐️: 39k Fork: 17.1K Repo: https://github.com/jakevdp/PythonDataScienceHandbook 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

Deep Learning Methods (Classification)
Deep Learning Methods (Classification)

The essential data science venn diagram
The essential data science venn diagram

Data Science Projects - Data Analysis & Machine Learning Learn how to build Data Science Projects with Python. Classification, Time-Series and NLP Projects. Not for beginners. Rating ⭐️: 4.8 out 5 Students πŸ‘¨β€πŸŽ“ : 5,201 Duration ⏰ : 1hr 44min on-demand video Created by πŸ‘¨β€πŸ«: Onur BaltacΔ± πŸ”— Course Link #Projects #Data_Analysis #Machine_Learning #Data_Science βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Choosing a statistical test
Choosing a statistical test

Machine Learning & Data Science from Caltech This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML has become one of the hottest fields of study today, taken up by undergraduate and graduate students from more than 20 different majors at Caltech. This course balances theory and practice, and covers the mathematical as well as the heuristic aspects. ⏰ Free Online Course 🎬 18 Video lessons πŸ“ downloadable resources πŸƒβ€β™‚οΈ Self paced Offered by: Caltech πŸ”— Course link #Machine #Leaning #machinelearning #data_science βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Complete Data Science Roadmap 2023
Complete Data Science Roadmap 2023

Data Science job expectation vs reality
Data Science job expectation vs reality

Data Science for Beginners - A Curriculum Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'. Creator: Microsoft Stars⭐️: 21.6k Fork: 4.3K Repo: https://github.com/microsoft/Data-Science-For-Beginners 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

Underfitting vs Overfitting
Underfitting vs Overfitting

15 Different Types of Data Scientists [with Responsibilities] A Data Scientist is a person who uses his/her skillset to gather, manage and store data for analysis. This is not easy as it sounds; a single person cannot do handling and engineer data. Proficiency in programming, mathematics, statistics, databases, etc., are some of the basic skills required to pursue different data science types of activities. Creating various types of data science models is the key responsibility of a data scientist. Financial models, Business models, and Machine learning models are some of the models which are developed by different types of data scientists. Data science is a broad term; the number of activities involved in data science is classified among professionals called Data Scientists. Let's explore the different types of data scientists along with their responsibilities. πŸ”— Article Link #Data_Science #Data #Science #datascience_types βž–βž–βž–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 vs Data Analytics Skills
Data Science vs Data Analytics Skills

INTRODUCTION TO DATA SCIENCE/Machine Learning In this course, I include easy-to-understand materials covering topics from data mining and machine learning. I try to explain the algorithms and the mathematics behind those algorithms in such a way that the resources do not overwhelm the learners. At the same time, I make sure that each lecture has adequate core content to build a data science foundation. I am still creating content and adding them to this curriculum. πŸ†“ Free Online Course 🎬 video lessons πŸƒβ€β™‚οΈ Self paced Modules ⏰: 6 Source: computing4all πŸ”— Course Link #Data_Science #Data #Science βž–βž–βž–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 and Machine Learning by Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman πŸ“„ 533 pages πŸ”— Book Link #data_science #machinelearning βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more

KNN Algorithm for Regression
KNN Algorithm for Regression

Basics of Pandas for Data Analysis & Data Science Learn Basics of Pandas for Data Analysis , Data Manipulation , Data Visualisation & Data Science Rating ⭐️: 4.6 out 5 Students πŸ‘¨β€πŸŽ“ : 2,376 Duration ⏰ : 1hr 55min on-demand video Created by πŸ‘¨β€πŸ«: Shan Singh πŸ”— Course Link #Pandas #Data_Analysis #Data_Visualization #Data_Science βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Data Scientist and Data Engineer
Data Scientist and Data Engineer

Repost from Python Learning
Netflix ML Architecture
Netflix ML Architecture

Finding your career path in Data
Finding your career path in Data

Data Analysis Masterclass Using Spreadsheet, MS excel and Tableau This is a Condensed course that will teach you all you need to know about how to get started and get going with data analysis we will start with learning how to use Excel and spreadsheet then use Tableau for Data analysis. This course is made for anyone who wants to learn the art of Data analysis and data visualization. We will begin by learning how to use Excel and Spreadsheet then we will learn the various steps for doing data analysis which are data cleaning, preparation and finally data visualization after which we will use all of these learned skills to create a real interaction dashboard for our projects in Tableau. This course should prepare you to utilize Excel, Spreadsheet and Tableau to do your next analysis with confidence. You will be able to proudly showcase your skills to the world and add it to your resume. πŸ†“ Free Online Course 🎬 video lessons πŸƒβ€β™‚οΈ Self paced Modules ⏰: 4 Source: Skill Share πŸ”— Course Link #Data_Analysis #Excel #Tableau βž–βž–βž–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