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Data Science from Scratch 2e by Joel Grus (Paperback Book)
Data Science from Scratch 2e by Joel Grus (Paperback Book)
Data Science from Scratch 2e by Joel Grus (Paperback Book)
Data Science from Scratch 2e by Joel Grus (Paperback Book)
Data Science from Scratch 2e by Joel Grus (Paperback Book)
Data Science from Scratch 2e by Joel Grus (Paperback Book)
Data Science from Scratch 2e by Joel Grus (Paperback Book)
Data Science from Scratch 2e by Joel Grus (Paperback Book)
Data Science from Scratch 2e by Joel Grus (Paperback Book)
Data Science from Scratch 2e by Joel Grus (Paperback Book)

Data Science from Scratch 2e by Joel Grus (Paperback Book)

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Title:. Data Science from Scratch: First Principles with Python Condition: BRAND NEW. Format: Paperback Overview:. Data Science from Scratch: First Principles with Python is a hands-on, code-first guide to the core ideas behind data science. In this updated second edition, Joel Grus walks you through implementing foundational data science tools and algorithms from scratch in Python, rather than simply using ready-made libraries. The aim is to illuminate the math and statistics at the heart of data science so you can reason about models, not just run them. If you’re comfortable with basic programming and have a willingness to wrestle with numbers, this book will teach you how to translate data into insight—step by step, line by line. You’ll learn to form questions, test hypotheses, and build intuition for why methods work, when they fail, and how to tune them in real-world, messy data. This is more than a tutorial—it’s a practical apprenticeship in thinking like a data scientist, with p...

Data Science from Scratch 2e by Joel Grus (Paperback Book)

Title:. Data Science from Scratch: First Principles with Python Condition: BRAND NEW. Format: Paperback Overview:. Data Science from Scratch: First Principles with Python is a hands-on, code-first guide to the core ideas behind data science. In this updated second edition, Joel Grus walks you through implementing foundational data science tools and algorithms from scratch in Python, rather than simply using ready-made libraries. The aim is to illuminate the math and statistics at the heart of data science so you can reason about models, not just run them. If you’re comfortable with basic programming and have a willingness to wrestle with numbers, this book will teach you how to translate data into insight—step by step, line by line. You’ll learn to form questions, test hypotheses, and build intuition for why methods work, when they fail, and how to tune them in real-world, messy data. This is more than a tutorial—it’s a practical apprenticeship in thinking like a data scientist, with p...

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