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DATA SCIENCE FROM SCRATCH: FIRST PRINCIPLES WITH PYTHON

By: GRUS JOEL.
Material type: TextTextPublisher: US O'REILLY MEDIA 2015Description: xvi, 311.ISBN: 978-93-5213-096-2.Subject(s): PYTHON (COMPUTER PROGRAM LANGUAGE), DATABASE MANAGEMENT, DATA STRUCTURES (COMPUTER SCIENCE)DDC classification: 005.133/GRU Summary: 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 implementing them from scratch.
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Item type Current location Call number Status Notes Date due Barcode
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
005.133/GRU (Browse shelf) Checked out PYTHON (COMPUTER PROGRAM LANGUAGE), DATABASE MANAGEMENT, DATA STRUCTURES (COMPUTER SCIENCE) 30/11/2020 SICSR-B-19529
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
005.133/GRU (Browse shelf) Available PYTHON (COMPUTER PROGRAM LANGUAGE), DATABASE MANAGEMENT, DATA STRUCTURES (COMPUTER SCIENCE) SICSR-B-19530
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
005.133/GRU (Browse shelf) Checked out PYTHON (COMPUTER PROGRAM LANGUAGE), DATABASE MANAGEMENT, DATA STRUCTURES (COMPUTER SCIENCE) 30/11/2020 SICSR-B-19531
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
005.133/GRU (Browse shelf) Available PYTHON (COMPUTER PROGRAM LANGUAGE), DATABASE MANAGEMENT, DATA STRUCTURES (COMPUTER SCIENCE) SICSR-B-19532
Books Books Symbiosis Institute of Computer Studies and Research
Algorithm
005.133/GRU (Browse shelf) Available PYTHON (COMPUTER PROGRAM LANGUAGE), DATABASE MANAGEMENT, DATA STRUCTURES (COMPUTER SCIENCE) SICSR-B-19533

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 implementing them from scratch.

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