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 π https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist
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Network:π 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 13 906 subscribers, ranking 8 914 in the Technologies & Applications category and 28 863 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 13 906 subscribers.
According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 86 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 7.48%. Within the first 24 hours after publication, content typically collects 2.04% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 039 views. Within the first day, a publication typically gains 284 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βData science and machine learning hub
Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources.
For beginners, data scientists and ML engineers
π https://rebrand.ly/bigdatachannels
DMCA: @disclosure_bds
Contact: @mldatasci...β
Thanks to the high frequency of updates (latest data received on 30 August, 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.
13 906
Subscribers
No data24 hours
-57 days
+8630 days
Posts Archive
13 906
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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*This channel belongs to @bigdataspecialist group
13 906
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:
π https://cutt.ly/S7eUTuM
13 906
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 π
13 906
π±Twitter Recommendation Algorithm: Source Codeπ€©
Twitter knows you better than you thinkπ. Its recommendation algorithm analyzes your every move on the platform to curate a feed that is tailor-made for you.
From trending topics to tweets from your favorite accounts, it's all about what you want to see. With the power of machine learning, Twitter's recommendation algorithm is always evolving, ensuring that you never miss out on the latest buzzπ.
Here's the source code to the recommendation algorithm
GithubβοΈ: Link
Looking for an introduction on how the algorithm worksπ
SEARCH NO MORE!!
#recommendation_engine #algorithm #twitter #machine_learning
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*This channel belongs to @bigdataspecialist group
13 906
π Free Book Multimodal Deep Learning 2023
This book is the result of a student seminar for Master Statistics and Master Data Science at the LMU in the summer semester 2022
π Book
πGithub
π€©Reading list
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*This channel belongs to @bigdataspecialist group
13 906
Microsoft incorporates GPT4 into Github Copilot and announces Copilot X!
GitHub Copilot is a cloud-based artificial intelligence tool developed by GitHub and OpenAI to assist users of
πΉ Visual Studio
πΉ Visual Studio Code and
πΉ JetBrains
IDEs by autocompleting code.
GitHub Copilot uses context from comments and code and immediately suggests individual lines and whole functions.
Now when Microsoft incorporated GPT4, it's much stronger.
Here are examples what you can do:
πΈtell your CopilotX to write unit test functions for selected code.
πΈask CopilotX to explain a piece of code
πΈget descriptions for your code, commits and pull requests
πΈlet CopilotX write bash commands instead of you in your CLI
13 906
FREE PowerBI COURSES
Power BI series by Alex The Analyst
https://t.co/sjGY4POLkx
Power BI beginner to Professional series byLearnit Training
https://t.co/NINlfOugob
Hands-On Power BI Tutorial Beginner to Pro by Pragmatic Works
https://t.co/3JuTKsigiI
How To Build A Dashboard in Power BI by Ali Ahmad
https://t.co/ZTIzbawyHv
Customer Overview Dashboard in Power BI by Ali Ahmad
https://t.co/npK7YXXHSf
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*This channel belongs to @bigdataspecialist group
13 906
One of our subscribers is doing a survey about Big Data Systems and asked me to share it here.
That is a part of her master studies and she said that unless she got 60 more participants in her survey, she is not going to complete the studies.
I didn't want to bother you with this at first, but you know how much I care about education.
So here it is:
http://bit.ly/3m79xcl
She said that you don't have to put your real mail or company name, as this is completely anonymous survey. It takes 15 minutes.
For more info her contact is: @Aishwharya
13 906
Hey folks π,
Most of you know that we organized our Programming Quiz League where you could compete with other members of our community.
Finding sponsors which would buy valuable prizes for our winners π is going very slow π so I will probably buy modest prizes by myself.
If you have any suggestions what could i buy to winners please write in comments or send me a DM.
That said, I also decided to give a chance to people who maybe didn't have time or didn't know about our quiz league. Anyone who missed some quiz round can take it now. Both old winners and potential new winner would get prizes π
Here is a list of all 10 quiz rounds:
1st round General Programming Knowledge
2nd round Data Structures (beginner level)
3rd round Java Quiz
4th round Database Management System
5th round Python Quiz
6th round HTML Quiz
7th round Javascript Quiz
8th round Data structures (advanced level)
9th round Data Science
10th round C/C++/OOP
After 10-15 days I will update results in this sheet.
PS. I will send this message to few or our other channels so I make sure everybody see it, I hope you don't mind.
Good luck π
13 906
π² Forecasting Future World Events with Neural Networks
Github: https://github.com/andyzoujm/autocast
Paper: https://arxiv.org/abs/2206.15474v1
Dataset: https://people.eecs.berkeley.edu/~hendrycks/intervalqa.tar.gz
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*This channel belongs to @bigdataspecialist group
13 906
YouTube Playlists to Learn Machine Learning and Deep Learning.
YouTube Playlists by Krish Naik --->
Machine Learning
Deep Learning
YouTube Playlists by Codebasics --->
Machine Learning
Deep Learning
YouTube Playlists by Andrew Ng --->
Machine Learning
Deep Learning
YouTube Playlists by Sentdex --->
Machine Learning
Deep Learning
YouTube Playlists by Simplilearn --->
Machine Learning
Deep Learning
YouTube Playlists by edureka! --->
Machine Learning
Deep Learning
YouTube Playlists by FreeCodeCamp --->
ML+DL
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*This channel belongs to @bigdataspecialist group
13 906
The 5 Best Places To Host Your Data Science Portfolio
https://www.kdnuggets.com/2022/07/5-best-places-host-data-science-portfolio.html
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*This channel belongs to @bigdataspecialist group
