Machine Learning & Artificial Intelligence | Data Science Free Courses

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Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun

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📈 Analytical overview of Telegram channel Machine Learning & Artificial Intelligence | Data Science Free Courses

Channel Machine Learning & Artificial Intelligence | Data Science Free Courses (@datasciencefree) in the English language segment is an active participant. Currently, the community unites 66 762 subscribers, ranking 2 441 in the Education category and 431 in the Malaysia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 66 762 subscribers.

According to the latest data from 26 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 509 over the last 30 days and by 13 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 0.81%. Within the first 24 hours after publication, content typically collects 0.78% reactions from the total number of subscribers.
Post reach: On average, each post receives 539 views. Within the first day, a publication typically gains 524 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 sellerflash, waybienad, pricing, buybox, buyer.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun”

Thanks to the high frequency of updates (latest data received on 27 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 Education category.

66 762

Subscribers

+1324 hours

+1057 days

+50930 days

539

Post views

~ 52424 hours

~ 74548 hours

0.81%

Engagement rate

~ 2

Posts per day

Ads index

beta

Posts Archive

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Data Analyst Jobs 👇👇 https://t.me/jobs_SQL

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DATA SCIENCE WORKSHOP (2023).pdf20.00 MB

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Here are some free coding resources: 1. Codecademy: Interactive coding lessons. 2. freeCodeCamp: Comprehensive web development curriculum. 3. Coursera and edX: Free audit options for courses. 4. MIT OpenCourseWare: Free course materials from MIT. 5. Khan Academy: Beginner-friendly coding lessons. 6. MDN Web Docs: Web development documentation. 7. GitHub Learning Lab: Hands-on Git and coding courses. 8. W3Schools: Tutorials and reference for web technologies. 9. Hackerrank: Coding challenges and competitions. 10. Project Euler: Math-based coding problems. 11. YouTube: Many coding tutorial channels available.

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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/datasciencefree 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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Elements of Statistical Learning .pdf20.64 MB

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Neural Networks for Handwritten Digit Recognition: Binary

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Hands-On Data Science and Python Machine Learning Frank Kane, 2017

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🔰 Complete SQL + Databases Bootcamp ⏱ 24.5 Hours 📦 278 Lessons Most comprehensive resource online to learn SQL and Database Management & Design + exercises to give you real-world experience working with all database types. Taught By: Mo Binni, Andrei Neagoie Download Full Course: https://t.me/sqlanalyst/38 Download All Courses: https://t.me/sqlspecialist

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Are you done with watching 𝐒𝐐𝐋 tutorials but don't know where to practice it? Check out these top 11 online sources that provide practical exercises and challenges to help you master SQL: 1. SQL Zoo: https://sqlzoo.net/wiki/SQL_Tutorial 2. SQLBolt : https://sqlbolt.com/ 3. SQLPad: https://sqlpad.io/ 4. Mode: https://mode.com/ 5. Strata Scratch: https://www.stratascratch.com/ 6. LeetCode: https://leetcode.com/problemset/all/ 7. HackerRank: https://www.hackerrank.com/domains/sql 8. W3 Schools: https://www.w3schools.com/sql/default.asp 9. SQL Roadmap: https://t.me/sqlspecialist/386 10. DataLemur: https://bit.ly/3P0kSqH 11. Programiz: https://www.programiz.com/sql

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📚 Title: Machine Learning for Absolute Beginners (2020)

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Data Analysis with Excel 👇👇 https://t.me/excel_analyst/2 Power BI DAX Functions 👇👇 https://t.me/PowerBI_analyst/2 All about SQL 👇👇 https://t.me/sqlanalyst/29 Python for data analysis 👇👇 https://t.me/pythonanalyst/26 Statistics Book and other useful resources 👇👇 https://t.me/DataAnalystInterview/34 Join channel as per your interest :)

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🖥 Roadmap of free courses for learning Python and Machine learning. ▪Data Science ▪ AI/ML ▪ Web Dev 1. Start with this https://kaggle.com/learn/python 2. Take any one of these ❯ https://openclassrooms.com/courses/6900856-learn-programming-with-python ❯ https://scaler.com/topics/course/python-for-beginners/ ❯ https://simplilearn.com/learn-python-basics-free-course-skillup 3. Then take this https://netacad.com/courses/programming/pcap-programming-essentials-python 4. Attempt for this certification https://freecodecamp.org/learn/scientific-computing-with-python/ 5. Take it to next level ❯ Data Scrapping, NumPy, Pandas https://scaler.com/topics/course/python-for-data-science/ ❯ Data Analysis https://openclassrooms.com/courses/2304731-learn-python-basics-for-data-analysis ❯ Data Visualization https://kaggle.com/learn/data-visualization ❯ Django https://openclassrooms.com/courses/6967196-create-a-web-application-with-django ❯ Machine Learning http://developers.google.com/machine-learning/crash-course ❯ Deep Learning (TensorFlow) http://kaggle.com/learn/intro-to-deep-learning Please more reaction with our posts

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SQL: Data Reporting and Analysis.zip410.75 MB

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SQL Zero to Hero.pdf7.12 KB

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📚 Title: Practical Data Science with Jupyter (2021)