Related Books
Language: en
Pages:
Pages:
Type: BOOK - Published: 2018-03-16 - Publisher:
This book is a practical guide to problems that commonly arise when developing a machine learning project. The book's topics are: Exploratory data analysis Data
Language: en
Pages: 475
Pages: 475
Type: BOOK - Published: 2016-05-02 - Publisher: Simon and Schuster
Summary Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python li
Language: en
Pages: 365
Pages: 365
Type: BOOK - Published: 2021-09-01 - Publisher: Springer Nature
This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to furth
Language: en
Pages: 336
Pages: 336
Type: BOOK - Published: 2015-04-14 - Publisher: "O'Reilly Media, Inc."
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 ac
Language: en
Pages: 432
Pages: 432
Type: BOOK - Published: 2013-10-31 - Publisher: John Wiley & Sons
Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a