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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
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Ready to break into tech? Learn how to get a high-paying job as a Software Tester or Manual QA!🚀
The demand by tech companies for Manual QA keeps increasing. Many of you might still be wondering, "QA“?
⠀
QA stands for Quality Assurance. Software QA Engineers (or Software Testers) make sure websites and mobile apps work as expected. They search for errors and bugs and report them to the development team. All tech companies require QA Engineers to prevent issues and guarantee high-standard outcomes.
Manual QA is a straightforward task!
👌 No experience required
👌 High salaries & demand
👌 No need to learn coding or programming!
👌 We’ll teach you all you need to know to get, do and keep the job of Software Engineer.
🔗 Follow the link to get:
✅ 2 hours of career insights
✅ Practice a real-life test case of a QA engineer
✅ Special offer
See you April 27th at our webinar!
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PANDAS FOR DATA SCIENCE
In this learning path, you’ll get started with pandas and get to know the ins and outs of how you can use it to analyze data with Python.
Pandas is a game-changer for data science and analytics, particularly if you came to Python because you were searching for something more powerful than Excel and VBA. It uses fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive.
Click Here
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Machine Learning
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WHAT'S ON YOUR MIND? I'M CURIOUS.🙂
Hey 👋 there!
I see that you have been enjoying the resources shared here so far.
In a bid to serve you better ☺️ I'm really interested in how best the resources here suit you?
Are there resources you have been unable to find here😊 or resources you wish you could get access to?😉
Kindly leave your thoughts here. If you have been enjoying it so far.
I'm glad 😊to know this and I wish you well in your learning journey.
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Reading Minds with AI: Researchers Translate Brain Waves to Images
This article discusses a new AI technology developed by researchers that is capable of translating brain waves into images. The technology utilizes machine learning algorithms to analyze the patterns in brain waves produced when a person is shown visual stimuli and convert them into digital images.
This breakthrough could potentially help individuals who have difficulty communicating, such as those with paralysis, to express their thoughts and feelings through images.
An Interesting Article 😉
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Stanford Seminar on Machine Learning Explainability
Hey there ☺️. Are you interested in the Explainability of ML and everything going on around it from the basics to the latest research in it?
Here's a cool 😎 video from Stanford
Video Link
#stanford #ml
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Data Science Interview Resource
Looking to ace that Data Science Interview?
This resource got you covered 👌
It covers a wide range of topics from machine learning and deep learning to probability and statistics , python and SQL .
Link
Happy Learning 😃
#deep_learning #machine_learning #Data_Science #interview
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Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
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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.
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As i promised, here is a list of famous Indian companies that hire data scientists and data engineers:
Flipkart
Ola
Swiggy
Zomato
InMobi
Myntra
Practo
Razorpay
Dream11
PhonePe
Byju's
Hike
Reliance Jio
Paytm
PolicyBazaar
Cure.fit
Udaan
Freshworks
Cred
BigBasket
@datascience_bds
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Companies That Hire Data Scientists
Amazon
Facebook
Google
Microsoft
Netflix
Airbnb
Uber
LinkedIn
Twitter
PayPal
Booking.com
Airbnb
Salesforce
IBM
Accenture
McKinsey & Company
BCG
EY
Deloitte
PwC
Companies that hire Data Engineers:
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure
IBM Cloud
Facebook
Netflix
Uber
Airbnb
LinkedIn
Twitter
PayPal
Salesforce
Oracle
Cisco
Intel
Hewlett Packard Enterprise (HPE)
Accenture
McKinsey & Company
BCG
EY
Please note that this list is not exhaustive and there may be many more companies that hire those 2 positions.
Tomorrow we are sharing list of Indian companies, both at your request 😊
@datascience_bds
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Binary Classification: A Deep Learning Approach
Unlock the power to predict the future with binary classification. This tutorial will guide you through the process of distinguishing between two outcomes using Deep Learning.
Click Me
#deep_learning #classification
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Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
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class Coding game TONight:
def init(Write code, Have fun, Earn crypto):
self.Write code = Write code
self.Have fun = Have fun
self.Earn crypto = Earn crypto
print(You woke up on January 19, 2038 and realized that the world has changed a lot. Gaming NPC need the help of a person who knows Programming language and they will reward with crypto TON)
Follow the link and start the game right now:
👉 https://cutt.ly/S7eUTuM
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Data Science Pre Requisite
Want to learn Data Science? Start by mastering these:
1.Basic knowledge of statistics: concepts like mean, median, mode, variance, and standard deviation is crucial to conducting data analysis.
2.Programming skills: be comfortable with at least one programming language. Python and R are widely used in data science, but you can also learn other languages like SQL, MATLAB, or Java.
3.Mathematics: understanding of linear algebra, calculus, and probability theory is essential as they are used in many data science models.
4.Data manipulation: be familiar with data cleaning to remove noise, outliers, and missing values, and data preprocessing for transformation, scaling, and normalization.
5.Data visualization: represent data visually using charts, graphs, and plots is important to communicate insights effectively.
6.Domain knowledge: Having knowledge about the industry or domain you are working in is useful to make informed decisions and design relevant models.
Happy Learning 😃
