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R for data science : import, tidy, transform, visualize, and model data
Material type:
TextPublication details: New Delhi : O'Reilly, ©2017.Description: xxiv, 492 p. : ill. ; 23 cmISBN: - 9789352134977
- 006.312 23 WIC-R
- QA276.45.R3 W53 2016
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IIITD Reference | Computer Science and Engineering | CB 006.312 WIC-R (Browse shelf(Opens below)) | Not for loan | DBT Project Grant | 008760 | |||
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IIITD General Stacks | Computer Science and Engineering | 006.312 WIC-R (Browse shelf(Opens below)) | Available | 008725 |
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| CB 006.31 STA-S The statquest illustrated guide to machine learning | CB 006.31 SUT-R Reinforcement learning : an introduction | CB 006.31 TRA-D Grokking deep learning | CB 006.312 WIC-R R for data science : | CB 006.32 STE-D Deep learning with PyTorch | CB 006.35 RAV-G Getting started with Google BERT : build and train state-of-the-art natural language processing models using BERT | CB 006.35 RAV-G Getting started with Google BERT : build and train state-of-the-art natural language processing models using BERT |
Includes bibliographical references and index.
"This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"--
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