پایتون ( Machine Learning | Data Science )

با استفاده از دوره های این لیست متخصص علم داده و ماشین لرنینگ شوید ( رایگان ) :

1. Python

    - From Harvard

https://cs50.harvard.edu/python/

2. SQL

     - From Stanford

https://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql

3. Mathematics

     - From MIT

https://ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum

4. Excel

    - From Microsoft

https://learn.microsoft.com/training/paths/modern-analytics/

5. Power BI

    - From Microsoft

http://learn.microsoft.com/collections/m14nt4rdwnwp04

6. Data Visualization

     - From Harvard

https://pll.harvard.edu/course/data-science-visualization

7. Data Analysis

     - From IBM

https://skillsbuild.org/adult-learners/explore-learning/data-analyst

8. Data Science using Python

    - From Saylor Academy

https://learn.saylor.org/course/view.php?id=504

9. Machine Learning

      - From Google

https://developers.google.com/machine-learning/crash-course

10. Deep Learning

      - From MIT

https://introtodeeplearning.com

#پایتون #علم_داده
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Create: 2025-03-17
Last Update: 2025-06-01 20:56:30

BY پایتون ( Machine Learning | Data Science )

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پایتون Machine Learning | Data Science Telegram | DID YOU KNOW?

Mr. Durov launched Telegram in late 2013 with his brother, Nikolai, just months before he was pushed out of VK, the Russian social-media platform he founded. Mr. Durov pitched his new app—funded with the proceeds from the VK sale—less as a business than as a way for people to send messages while avoiding government surveillance and censorship.

Why Telegram?

Telegram has no known backdoors and, even though it is come in for criticism for using proprietary encryption methods instead of open-source ones, those have yet to be compromised. While no messaging app can guarantee a 100% impermeable defense against determined attackers, Telegram is vulnerabilities are few and either theoretical or based on spoof files fooling users into actively enabling an attack.