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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
Больше📈 Аналитический обзор Telegram-канала Data science/ML/AI
Канал Data science/ML/AI (@datascience_bds) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 13 685 подписчиков, занимая 9 380 место в категории Технологии и приложения и 31 607 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 13 685 подписчиков.
Согласно последним данным от 10 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 143, а за последние 24 часа — 2, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 8.09%. В первые 24 часа после публикации контент обычно набирает 2.22% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 1 106 просмотров. В течение первых суток публикация набирает 304 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 5.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как panda, learning, row, api, ethic.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“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...”
Благодаря высокой частоте обновлений (последние данные получены 11 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
13 685
Подписчики
+224 часа
+217 дней
+14330 день
Архив постов
13 685
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
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*This channel belongs to @bigdataspecialist group
13 685
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 👨🎓 : 5,201
Duration ⏰ : 1hr 44min on-demand video
Created by 👨🏫: Onur Baltacı
🔗 Course Link
#Projects #Data_Analysis #Machine_Learning #Data_Science
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👉Join @bigdataspecialist for more👈
13 685
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
📁 downloadable resources
🏃♂️ Self paced
Offered by: Caltech
🔗 Course link
#Machine #Leaning #machinelearning #data_science
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13 685
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
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*This channel belongs to @bigdataspecialist group
13 685
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.
🔗 Article Link
#Data_Science #Data #Science #datascience_types
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*This channel belongs to @bigdataspecialist group
13 685
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.
🆓 Free Online Course
🎬 video lessons
🏃♂️ Self paced
Modules ⏰: 6
Source: computing4all
🔗 Course Link
#Data_Science #Data #Science
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13 685
Data Science and Machine Learning
by Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman
📄 533 pages
🔗 Book Link
#data_science #machinelearning
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13 685
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 👨🎓 : 2,376
Duration ⏰ : 1hr 55min on-demand video
Created by 👨🏫: Shan Singh
🔗 Course Link
#Pandas #Data_Analysis #Data_Visualization #Data_Science
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13 685
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.
🆓 Free Online Course
🎬 video lessons
🏃♂️ Self paced
Modules ⏰: 4
Source: Skill Share
🔗 Course Link
#Data_Analysis #Excel #Tableau
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