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 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

Network:Programming, data science, ML - free courses by Big Data Specialist India31 607 Technologies & Applications9 380...

📈 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 13 685 subscribers, ranking 9 380 in the Technologies & Applications category and 31 607 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 685 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.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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...”

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.

13 685

Subscribers

+224 hours

+217 days

+14330 days

1 106

Post views

~ 30424 hours

~ 44448 hours

8.09%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

13 685

ML algorithms and their usages

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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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Repost from Programming, data science, ML - free courses by Big Data Specialist

Machine Learning

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Top 12 Interesting Careers to Explore in BIG DATA

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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 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 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 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 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 😃