About the Author
Joel Grus
ISBN 9789352138326
Rs. 2,520
O'Reilly Media
Data Science From Scratch
Who it's for: Beginners and programmers new to data science
Data Science from Scratch by Joel Grus offers a hands-on introduction to fundamental data science concepts. This book guides readers through building essential algorithms for statistics, machine learning, and data visualization directly in Python, fostering a deep understanding of how these techniques work without relying on pre-built libraries.Why You Should Read? Master data science core principles by coding algorithms from the ground up in Python. Gain a practical understanding of statistics, machine learning, and deep learning foundations. Develop robust programming skills for data analysis and model building from first principles. Ideal for beginners and programmers seeking a strong, library-independent data science foundation.
Highlights
- Builds algorithms from scratch in Python, no pre-built libraries
- Covers statistics, machine learning, and data visualization
- Includes deep learning foundations
- Ideal for beginners and programmers seeking a library-independent foundation
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Sign inQuestions about this book
Do I need to know Python before reading this book?
The book is ideal for beginners and programmers, but having some basic Python knowledge will help you follow along as you code algorithms from scratch.
Does this book use libraries like scikit-learn or pandas?
No, the book focuses on building algorithms from scratch in Python, without relying on pre-built libraries, to give you a deep understanding of how they work.
What topics are covered in the book?
The book covers fundamental data science concepts including statistics, machine learning, data visualization, and deep learning foundations.
Is this book suitable for someone with no data science background?
Yes, it is designed as a hands-on introduction for beginners, guiding you through core principles by coding algorithms from the ground up.