en
Feedback
Data science/ML/AI

Data science/ML/AI

Open in Telegram

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

Show more
Programming, data science, ML - free courses by Big Data SpecialistNetwork:Programming, data science, ML - free courses by Big Data SpecialistIndia31 551Technologies & Applications9 384

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 13 684 subscribers, ranking 9 384 in the Technologies & Applications category and 31 551 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 13 684 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 150 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.13%. Within the first 24 hours after publication, content typically collects 2.20% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 112 views. Within the first day, a publication typically gains 301 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 12 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.

13 684
Subscribers
+1124 hours
+227 days
+15030 days
Posts Archive
Data science/ML/AI
Data science/ML/AI
13 690
Now, making money no longer requires manual labor, and everyone can make money by mining with Polkadot cloud mining machines.
Now, making money no longer requires manual labor, and everyone can make money by mining with Polkadot cloud mining machines.Sign up now and earn 18 DOT. Small investment, big return, up to 2%-30% income per day，Online customer service: @dotmining_io, Registration link: https://dotmining.cc

Data science/ML/AI
Data science/ML/AI
13 690
SQL Free Resources Looking to learn SQL for free? Here is a curated list of websites you can use to upgeade your SQL skill level or practice writing queries. Remember SQL is a necessary skill to have in your toolkit as a data professional. 1. W3 Schools https://w3schools.com/sql 2. SQL Zoo http://sqlzoo.net 3. SQLBolt http://sqlbolt.com 4. Khan Academy https://khanacademy.org/computing/computer-programming/sql 5. FreeCode Camp https://youtu.be/HXV3zeQKqGY To Practice what you have learned and build your skill at hte same time , you can use these: 6. Hacker Rank https://hackerrank.com/domains/sql 7. SQL Murder Mystery Game https://mystery.knightlab.com #datascience #SQL βž–βž–βž–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/ML/AI
Data science/ML/AI
13 690
18 Best Data Science PodCasts
18 Best Data Science PodCasts

Data science/ML/AI
Data science/ML/AI
13 690
Where to find Data for Machine Learning High quality data is key for building useful machine learning models. Models learn their behaviour from data. So, finding the right data is a big part of the work to build machine learning into your products. This article gives a concise explanation on finding the right data for your models. https://towardsdatascience.com/where-to-find-data-for-machine-learning-e375e2a515c8

Data science/ML/AI
Data science/ML/AI
13 690
Statistics Guide for Data Science Learning Statistics for Data Science can be quite overwhelming for beginners without a Statistics background. One can get confused on which topics to learn or books to read up to equip their knowledge You don't have to learn it all. Here are essential topics you can learn 1) Know what a p value is and its limitations 2) Linear Regression and its Assumptions 3) Different Statistical Distributions and when to use them 4) Mean, Variance for Normal, Poisson, and Uniform Distribution 5) Sampling Techniques and Common Designs(eg: A/B) 6) Bayes Theorems and it's application 7) Measurements and Interpretation of Confidence Intervals 8) Logistics Regressions and ROC curves 9) Resampling(Cross Validation and Bootstrapping) 10) Tree Based Models βž–βž–βž–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/ML/AI
Data science/ML/AI
13 690
Head First SQL Here's a brain friendly guide to learning SQL for beginners Author:Lynn Beighley Pages: 586 Link: Click Me!
Head First SQL Here's a brain friendly guide to learning SQL for beginners Author:Lynn Beighley Pages: 586 Link: Click Me!

Data science/ML/AI
Data science/ML/AI
13 690
Amazing Free Resources on Data Science and Machine Learning for Beginners 1) Data Science for Beginners - A Curriculum By: Azure Cloud Advocates at Microsoft Stars ⭐️: 15K Fork: 2.4K Repo: https://microsoft.github.io/Data-Science-For-Beginners/#/?id=lessons 2) Machine Learning for Beginners - A Curriculum By: Azure Cloud Advocates at Microsoft Stars ⭐️: 38K Fork: 7.4K Repo: https://microsoft.github.io/ML-For-Beginners/#/

Data science/ML/AI
Data science/ML/AI
13 690
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.

Data science/ML/AI
Data science/ML/AI
13 690
A Guide to Understanding Mathematics for Deep Learning

Data science/ML/AI
Data science/ML/AI
13 690
photo content

Data science/ML/AI
Data science/ML/AI
13 690
A GUIDE TO UNDERSTANDING HYPOTHESIS TEST

Data science/ML/AI
Data science/ML/AI
13 690
photo content

Data science/ML/AI
Data science/ML/AI
13 690
Repost from Programming, data science, ML - free courses by Big Data Specialist
Deep Learning free courses Introduction to Deep Learning 🎬 10 video lesson Duration ⏰: 1 week worth of material πŸƒβ€β™‚οΈ Self paced πŸ“„ Notes, πŸ‘¨β€πŸ« Labs and many more ☒️ Projects, Competitions Teacher: Alexander Amini, Ava Soleimany Source: MIT πŸ”— Course link Practical Deep Learning For Coders 🎬 8 video lessons πŸ“” Book Read online πŸ“„ Notes, πŸ‘¨β€πŸ« Labs and many more Duration ⏰: 7 weeks long, 10 hours a week πŸƒβ€β™‚οΈ Self paced Teacher: Jeremy Howard Source: fast.ai πŸ”— Course link Deep Learning by Kaggle, on youtube 🎬 13 video lesson Duration ⏰: 2 hours worth of material πŸ”— Course link Learn Deep Learning and TensorFlow, without a Ph.D. 🎬 8 video lesson Duration ⏰: 3 hours worth of material πŸƒβ€β™‚οΈ Self paced πŸ“„ Notes, slides Teacher: Martin GΓΆrner Source: Google Cloud πŸ”— Course link Explore Deep Learning for Natural Language Processing 🎬 9 video lesson Duration ⏰: 7-8 hours worth of material πŸƒβ€β™‚οΈ Self paced Resource: Trailhead πŸ”— Course link Deep Learning Summer School 🎬 35 video lesson Duration ⏰: 35+ hours πŸƒβ€β™‚οΈ Self paced Resource: deeplearning πŸ”— Course link Deep Learning Prerequisites: The Numpy Stack in Python V2 Rating ⭐️: 4.5 out of 5 Students πŸ‘¨β€πŸŽ“: 2230 Duration ⏰: 1hr 59min Created by Lazy Programmer Team, Lazy Programmer Inc. πŸ”— Course link AI 101 Video Presentation presentation given by πŸ‘¨β€πŸ«: MIT’s Brandon Leshchinskiy πŸ”— Presentation link Deep Learning in Life Sciences - Spring 2021 🎬 22 video lesson Duration ⏰: 31 hours worth of material πŸƒβ€β™‚οΈ Self paced Teacher: Manolis Kellis Resource: Class Central πŸ”— Course link Intro to Deep Learning by Kaggle Use TensorFlow and Keras to build and train neural networks for structured data. Duration ⏰: 4 hours πŸ”— Course link Deep Learning An MIT Press book πŸ“š Authers: Ian Goodfellow, Yoshua Bengio and Aaron Courville πŸ”— Book link #Deep_Learning #deeplearning #dl #machinelearning βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 690
Reasons Why Data Goes Missing Understanding the reason for the missing data in your dataset is important because it helps you determine the type of missing data and what you need to do about it. Lets get our brain to grasp this concept shall we?😁😁 Missing Completely at Random(MCAR): This is a fact that a certain missing value has nothing to do with its hypothetical value and values of other variables. eg: You collect data on end-of-year holiday spending patterns. You survey adults on how much they spend annually on gifts for family and friends in dollar amounts. You note that there are a few missing values in your holiday spending dataset. Some people started answering your survey but dropped out or skipped a question. However, you note that you have data points from a wide distribution, ranging from low to high values. Therefore, you conclude that the missing values aren’t related to any specific holiday spending amount range. Missing at Random(MAR):This means that the propensity for a data point to be missing is unrelated to the missing data but related to some observed data. eg: You repeat your data collection with a new group. You notice that there are more missing values for adults aged 18–25 than for other age groups. But looking at the observed data for adults aged 18–25, you notice that the values are widely spread. It’s unlikely that the missing data are missing because of the specific values themselves. Instead, some younger adults may be less inclined to reveal their holiday spending amounts for unrelated reasons (e.g., more protective of their privacy). Missing Not at Random(MNAR): This is data that is neither MAR nor MCAR (i.e. the value of the variable that's missing is related to the reason it's missing). eg: If some participants with low incomes avoid reporting their holiday spending amounts because they are low in your datast, then this is a MNAR problem

Data science/ML/AI
Data science/ML/AI
13 690
THE PANDAS CHEAT SHEET A well detailed guide to data wrangling using pandas

Data science/ML/AI
Data science/ML/AI
13 690
The Machine Learning Workshop Get ready to develop your own high-performance machine learning algorithms with scikit-learn Author: Hyatt Saleh Pages: 285

Data science/ML/AI
Data science/ML/AI
13 690
Understanding the Three Regression Types
Understanding the Three Regression Types

Data science/ML/AI
Data science/ML/AI
13 690
microsoft/Data-Science-For-Beginners 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 ⭐️: 11.1k Forked By: 1.9k GithubRepo: https://github.com/microsoft/Data-Science-For-Beginners βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @github_repositories_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 690
Artificial Neural Networks (ANN) with Keras in Python and R Rating ⭐️: 4.7 out of 5 Duration ⏰: 11 hours on-demand video Students πŸ‘¨β€πŸ«: 143,495 Created by: Start-Tech Academy πŸ”— Course link Note: Free coupon is inserted in URL. Courses are FREE FOR FIRST 1000 enrollments #ai #ml #neural_networks #machine_learning #data_science #deep_learning 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/ML/AI
Data science/ML/AI
13 690
UDEMY FREE DEEP LEARNING COURSE Python for Deep Learning: Build Neural Networks in Python Rating ⭐️: 4.2 out of 5 Students πŸ‘¨β€πŸ«: 44,894 Created by: Meta Brains πŸ”— Course link Note: Free coupon is inserted in URL. Courses are FREE FOR 2 DAYS #python #datanalysis #datascience #deeplearing 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