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Data Science & Machine Learning

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Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data

Network: Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT ExpertIndia3 829Education2 010...

📈 Analytical overview of Telegram channel Data Science & Machine Learning

Channel Data Science & Machine Learning (@datasciencefun) in the English language segment is an active participant. Currently, the community unites 77 693 subscribers, ranking 2 010 in the Education category and 3 829 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 77 693 subscribers.

According to the latest data from 09 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -87 over the last 30 days and by -6 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 3.23%. Within the first 24 hours after publication, content typically collects 0.99% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 512 views. Within the first day, a publication typically gains 770 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
Thematic interests: Content is focused on key topics such as learning, accuracy, distribution, panda, dataset.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data”

Thanks to the high frequency of updates (latest data received on 10 November, 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 Education category.

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77 693

Subscribers

-624 hours

-377 days

-8730 days

2 512

Post views

~ 77024 hours

~ 1 04148 hours

3.23%

Engagement rate

~ 1

Posts per day

Ads index

Posts Archive

77 694

Machine Learning with Python.pdf28.13 MB

77 694

Probability Distributions Cheat Sheet.pdf2.57 MB

77 694

Hands-On Graph Neural Networks Using Python.pdf35.45 MB

77 694

🔰 Learning Python for Data Analysis and Visualization ⏱ 21 Hours 📦 110 Lessons Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video! Taught By: Jose Portilla Download Full Course: https://t.me/pythonanalyst/26 Download All Courses: https://t.me/DataAnalystInterview

77 694

Natural Language Processing with Transformers.pdf17.27 MB

77 694

Python Automation Cookbook Jaime Buelta, 2020

77 694

Practical Statistics for Data Scientists.pdf15.98 MB

77 694

R for Data Science.pdf19.76 MB

77 694

❇️ Join my team, I'll tell you how to get the algorithm right now! ▶️ Subscribe ✅ soon while my private channel is available! Last call!👇👇👇👇👇👇👇👇👇👇 👉 https://t.me/+Sq4_8xiYFFQ3MGMx 👉 https://t.me/+Sq4_8xiYFFQ3MGMx

77 694

1. What are the different subsets of SQL? Data Definition Language (DDL) – It allows you to perform various operations on the database such as CREATE, ALTER, and DELETE objects. Data Manipulation Language(DML) – It allows you to access and manipulate data. It helps you to insert, update, delete and retrieve data from the database. Data Control Language(DCL) – It allows you to control access to the database. Example – Grant, Revoke access permissions. 2. List the different types of relationships in SQL. There are different types of relations in the database: One-to-One – This is a connection between two tables in which each record in one table corresponds to the maximum of one record in the other. One-to-Many and Many-to-One – This is the most frequent connection, in which a record in one table is linked to several records in another. Many-to-Many – This is used when defining a relationship that requires several instances on each sides. Self-Referencing Relationships – When a table has to declare a connection with itself, this is the method to employ. 3. How to create empty tables with the same structure as another table? To create empty tables: Using the INTO operator to fetch the records of one table into a new table while setting a WHERE clause to false for all entries, it is possible to create empty tables with the same structure. As a result, SQL creates a new table with a duplicate structure to accept the fetched entries, but nothing is stored into the new table since the WHERE clause is active. 4. What is Normalization and what are the advantages of it? Normalization in SQL is the process of organizing data to avoid duplication and redundancy. Some of the advantages are: Better Database organization More Tables with smaller rows Efficient data access Greater Flexibility for Queries Quickly find the information Easier to implement Security

77 694

PYTHON_DATA_SCIENCE_ESSENTIALS_THIRD_EDITION @computer_books.pdf6.63 MB

77 694

Statistics Slam Dunk.pdf8.97 MB

77 694

Electrical Machine Fundamentals with Numerical Simulation using MATLAB/SIMULINK Atif Iqbal, 2021

77 694

Stack Overflow jumps into the generative AI world with OverflowAI

77 694

Natural Language Processing in the Real World.pdf25.62 MB

77 694

Friendly Introduction to Numerical Analysis Brian Bradie, 2006

77 694

Siemens is hiring Data Analyst/ Data Engineer! https://t.me/getjobss/1445

77 694

The Pragmatic Programmer for Machine Learning.pdf7.68 MB

77 694

Python Programming Notes 📝

77 694

Practical Guide to Scikit-Learn for Data Science.pdf9.22 KB