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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 ๐Ÿ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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Programming, data science, ML - free courses by Big Data SpecialistNetwork:Programming, data science, ML - free courses by Big Data SpecialistIndia31 607Technologies & Applications9 380

๐Ÿ“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 13 685 subscribers, ranking 9 380 in the Technologies & Applications category and 31 607 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, 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.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€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 ๐Ÿ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...โ€

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
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Posts Archive
Data science/ML/AI
Data science/ML/AI
13 685
Get started in Data Science with Microsoft's FREE course for beginners. - 10 weeks - 20 lessons - Lecture notes - 100% FREE h
Get started in Data Science with Microsoft's FREE course for beginners. - 10 weeks - 20 lessons - Lecture notes - 100% FREE https://microsoft.github.io/Data-Science-For-Beginners/

Data science/ML/AI
Data science/ML/AI
13 685
6 key data terms you should know
6 key data terms you should know

Data science/ML/AI
Data science/ML/AI
13 685
Repost from Programming, data science, ML - free courses by Big Data Specialist
R Programming Language free courses R Programming Tutorial - Learn the Basics of Statistical Computing ๐Ÿ†“ Free Online Course ๐ŸŽฌ 20 video lesson Duration โฐ: 2-3 hours worth of material ๐Ÿƒโ€โ™‚๏ธ Self paced Resource: freecodecamp ๐Ÿ”— Course Link NOC:Foundations of R Software, IIT Kanpur ๐ŸŽฌ 53 video lesson โฐ 12 Modules Taught by: Prof. Shalabh Source: NPTEL ๐Ÿ”— Course Link R Basics - R Programming Language Introduction Rating โญ๏ธ: 4.6 out of 5 Students ๐Ÿ‘จโ€๐ŸŽ“: 207,088 Duration โฐ: 4hr 06min Created by: R-Tutorials Training ๐Ÿ”— Course Link R Shiny for Data Science Tutorial โ€“ Build Interactive Data-Driven Web Apps ๐Ÿ†“ Free Online Course ๐ŸŽฌ 8 video lesson Duration โฐ: 1-2 hours worth of material ๐Ÿƒโ€โ™‚๏ธ Self paced Resource: freecodecamp ๐Ÿ”— Course Link NOC:Essentials of Data Science With R Software _ 1: Probability and Statistical Inference, IIT Kanpur ๐ŸŽฌ 71 video lesson โฐ 13 Modules Taught by: Prof. Shalabh Source: NPTEL ๐Ÿ”— Course Link NOC:Essentials of Data Science With R Software _ 2: Sampling Theory and Linear Regression Analysis, IIT Kanpur ๐ŸŽฌ 51 video lesson โฐ 13 Modules Taught by: Prof. Shalabh Source: NPTEL ๐Ÿ”— Course Link Mastering R Programming (Apr 2023) Rating โญ๏ธ: 4.3 out of 5 Students ๐Ÿ‘จโ€๐ŸŽ“: 6,161 Duration โฐ: 1hr 47min Created by: Proton Expert Systems & Solutions ๐Ÿ”— Course Link Statistical Computing with R - a gentle introduction (Login Required) ๐Ÿ†“ Free Online Course Duration โฐ: 6-8 Hours study ๐Ÿƒโ€โ™‚๏ธ Self paced Teacher: Max Reuter, Chris Barnes Resource: University College London ๐Ÿ”— Course Link R Programming For Beginners-Full Course | Learn R in 3 Hours| R Language Tutorial | Great Learning ๐Ÿ†“ Free Online Course ๐ŸŽฌ 14 video lesson Duration โฐ: 3-4 hours worth of material ๐Ÿƒโ€โ™‚๏ธ Self paced Resource: Great Learning ๐Ÿ”— Course Link NOC:Business analytics and data mining Modeling using R, IIT Roorkee ๐ŸŽฌ 60 video lesson โฐ 12 Modules Taught by: Dr. Gaurav Dixit Source: NPTEL ๐Ÿ”— Course Link Learn Live - Explore and analyze data with R ๐Ÿ†“ Free Online Course ๐ŸŽฌ 9 video lesson Duration โฐ: 1-2 hours worth of material ๐Ÿƒโ€โ™‚๏ธ Self paced Resource: Class Central ๐Ÿ”— Course Link R Programming Full Course for 2023 | R Programming For Beginners | R Tutorial | Simplilearn ๐Ÿ†“ Free Online Course ๐ŸŽฌ 1 video lesson Duration โฐ: 10-11 hours worth of material ๐Ÿƒโ€โ™‚๏ธ Self paced Resource: Youtube ๐Ÿ”— Course Link Books The Book of R R Programming for Data Science - Roger D. Peng R for Beginners #R #R_Language #R_Programming_Language โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @bigdataspecialist for more๐Ÿ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 685
Data Science Helps Engineers Discover New Materials for Solar Cells and LEDs
Data Science Helps Engineers Discover New Materials for Solar Cells and LEDs

Data science/ML/AI
Data science/ML/AI
13 685
How To Label Data At LightTag, we create tools to annotate data for natural language processing (NLP). At its core, the process of annotating at scale is a team effort. Managing the annotation process draws on the same principles as managing any other human endeavor. You need to clearly understand what needs to be done, articulate it repeatedly to your team, give them the tools and training to execute effectively, measure their performance against your goals, and help them improve over time. we will draw on our experience with various annotation projects to describe the seven distinct stages of an annotation life cycle that Jane will go through. We will explain the purpose of each stage, describe key considerations that should occur during each, and wrap each stage up with the assets you should expect to have at the end. Link #ml #data_science โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 685
Using data science to discover materials with extreme properties

Data science/ML/AI
Data science/ML/AI
13 685
Data Science Engineering, your way An introduction to different Data Science engineering concepts and Applications using Python and R These series of tutorials on Data Science engineering will try to compare how different concepts in the discipline can be implemented in the two dominant ecosystems nowadays: R and Python. We will do this from a neutral point of view. Our opinion is that each environment has good and bad things, and any data scientist should know how to use both in order to be as prepared as posible for job market or to start personal project. To get a feeling of what is going on regarding this hot topic, we refer the reader to DataCamp's Data Science War infographic. Their infographic explores what the strengths of R are over Python and vice versa, and aims to provide a basic comparison between these two programming languages from a data science and statistics perspective. Far from being a repetition from the previous, our series of tutorials will go hands-on into how to actually perform different data science taks such as working with data frames, doing aggregations, or creating different statistical models such in the areas of supervised and unsupervised learning. We will use real-world datasets, and we will build some real data products. This will help us to quickly transfer what we learn here to actual data analysis situations. Link #ai #ml #data_science โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 685
photo content

Data science/ML/AI
Data science/ML/AI
13 685
Google just dropped Generative AI learning path with 9 courses: ๐Ÿค–: Intro to Generative AI ๐Ÿค–: Large Language Models ๐Ÿค–: Responsible AI ๐Ÿค–: Image Generation ๐Ÿค–: Encoder-Decoder ๐Ÿค–: Attention Mechanism ๐Ÿค–: Transformers and BERT Models ๐Ÿค–: Create Image Captioning Models ๐Ÿค–: Intro to Gen AI Studio https://www.cloudskillsboost.google/paths/118

Data science/ML/AI
Data science/ML/AI
13 685
Data-Driven Materials Science: Status, Challenges, and Perspectives
Data-Driven Materials Science: Status, Challenges, and Perspectives

Data science/ML/AI
Data science/ML/AI
13 685
1000 Data Science Projects you can run on the browser with IPython. Explore from 1000+ ready code templates to kickstart your AI projects โญ๏ธClassification โญ๏ธRegression โญ๏ธClustering ๐Ÿ”— Source link #ai #ml #data_science #deep_learning โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 685
Repost from Python Learning
Machine Learning Engineer Roadmap
Machine Learning Engineer Roadmap

Data science/ML/AI
Data science/ML/AI
13 685
Datasets for Data Science and Machine Learning Ten years ago, it use be years ago quite difficult to find good datasets for data science and machine learning projects. Today, we have the opposite problem. Weโ€™ve been flooded with lists and lists of datasets. The problem nowadays is not finding datasets, but rather sifting through them to keep the relevant ones. Well, weโ€™ve done that for you right here. Below, youโ€™ll find a curated list of free datasets for data science and machine learning, organized by their use case. Youโ€™ll find both hand-picked datasets and our favorite aggregators. โœ… Exploratory Analysis โœ… General Machine Learning โœ… Deep Learning โœ… Natural Language Processing โœ… Cloud-Based Machine Learning โœ… Time Series Analysis โœ… Recommender Systems โœ… Specific Industries โœ… Streaming Data โœ… Web Scraping โœ… Current Events ๐Ÿ”— Source Link #Data_Science #python #datasets โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 685
Data Science Workflow
Data Science Workflow

Data science/ML/AI
Data science/ML/AI
13 685
How do Transformers work? All the Transformer models mentioned above (GPT, BERT, BART, T5, etc.) have been trained as languag
How do Transformers work? All the Transformer models mentioned above (GPT, BERT, BART, T5, etc.) have been trained as language models. This means they have been trained on large amounts of raw text in a self-supervised fashion. Self-supervised learning is a type of training in which the objective is automatically computed from the inputs of the model. That means that humans are not needed to label the data! This type of model develops a statistical understanding of the language it has been trained on, but itโ€™s not very useful for specific practical tasks. Because of this, the general pretrained model then goes through a process called transfer learning. During this process, the model is fine-tuned in a supervised way โ€” that is, using human-annotated labels โ€” on a given task ๐Ÿ”— Read More

Data science/ML/AI
Data science/ML/AI
13 685
Data Science Lifestyle
Data Science Lifestyle

Data science/ML/AI
Data science/ML/AI
13 685
Data Science With Python Workflow Cheat Sheet Creator: business Science Stars โญ๏ธ: 75 Forked By: 38 https://github.com/business-science/cheatsheets/blob/master/Data_Science_With_Python_Workflow.pdf #Data #Science #cheatSheet โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 685
Python for Data Science: A Beginnerโ€™s Guide Python is a programmer darling for plenty of reasons: the language is easy to rea
Python for Data Science: A Beginnerโ€™s Guide Python is a programmer darling for plenty of reasons: the language is easy to read and work with, relatively simple to learn, and popular enough that thereโ€™s a great community and plenty of resources available. And if you needed one more reason to consider starting Python for beginners, it plays an important role in lucrative data careers as well! Learning Python for data science or data analysis will give you a variety of useful skills. โœ… Free Online Tutorial ๐Ÿงฑ 8 modules ๐Ÿƒโ€โ™‚๏ธ Self paced Source: learntocodewithme ๐Ÿ”— Course Link #Data_Science #python #Python_For_Data_Science โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @bigdataspecialist for more๐Ÿ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 685
Repost from Programming, data science, ML - free courses by Big Data Specialist
Visualize data on Google Maps Platform Learn to translate external data sources to graphics on maps. โœ… Free Online Course ๐Ÿงฑ 4 modules ๐ŸŽฌ Video Lectures ๐Ÿƒโ€โ™‚๏ธ Self paced ๐Ÿ“Š Lab: 1 ๐Ÿงฎ Quiz Source: Google ๐Ÿ”— https://developers.google.com/learn/pathways/maps-visualize-data?hl=en #Data_Science #Google_Map #Data_Visualization โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @bigdataspecialist for more๐Ÿ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 685
Types of Data Professionals
Types of Data Professionals