Data Science from Scratch: First Principles with Python
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Step-by-step implementation of core data science algorithms from scratch for deep conceptual understanding
Covers linear algebra, statistics, and probability to equip readers with foundational math skills
Hands-on Python coding exercises to reinforce learning and practical skills
Includes real-world data analysis and machine learning projects for applied experience
Guidance from experienced author Joel Grus for expert instruction
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Used paperback in Very Good condition. Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implem