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Data Science from Scratch: First Principles with Python
An educational resource designed to teach the fundamentals of data science using the Python programming language. Rather than relying on pre-existing libraries, the text emphasizes a "from scratch" philosophy where learners build their own tools to gain a deep understanding of core algorithms. The content outlines a curriculum spanning linear algebra, statistics, and probability, as well as practical skills like data cleaning and web scraping. To make these concepts tangible, the author presents a hypothetical social network called DataSciencester, using it to demonstrate how to analyze user connections, common interests, and salary trends. Ultimately, the source serves as a guide for individuals with basic programming and math skills to master machine learning and data manipulation techniques.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X?&linkCode=ll2&tag=cvthunderx-20&linkId=e4c439a79b10c5d148e6695eb48f81ca&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X?&linkCode=ll2&tag=cvthunderx-20&linkId=e4c439a79b10c5d148e6695eb48f81ca&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
View all episodes
By CyberSecurity Summary
2.2
55 ratings
An educational resource designed to teach the fundamentals of data science using the Python programming language. Rather than relying on pre-existing libraries, the text emphasizes a "from scratch" philosophy where learners build their own tools to gain a deep understanding of core algorithms. The content outlines a curriculum spanning linear algebra, statistics, and probability, as well as practical skills like data cleaning and web scraping. To make these concepts tangible, the author presents a hypothetical social network called DataSciencester, using it to demonstrate how to analyze user connections, common interests, and salary trends. Ultimately, the source serves as a guide for individuals with basic programming and math skills to master machine learning and data manipulation techniques.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X?&linkCode=ll2&tag=cvthunderx-20&linkId=e4c439a79b10c5d148e6695eb48f81ca&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X?&linkCode=ll2&tag=cvthunderx-20&linkId=e4c439a79b10c5d148e6695eb48f81ca&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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