R for Data Science

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Bibliografski detalji
Glavni autor:	Wickham, Hadley
Daljnji autori:	Çetinkaya-Rundel, Mine; Grolemund, Garrett
Format:	Knjiga
Jezik:	engleski
Izdano:	Navi Mumbai Shroff Publishers & Distributors Pvt.Ltd 2023
Izdanje:	2nd
Teme:	R (Computer program language) Data mining > Computer programs. Information visualization > Computer programs. Big data. Databases
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

Slični predmeti

R for Data Science: Import, Tidy, Transform, Visualize and Model Data
od: Wickham, Hadley
Izdano: (2018)

R Packages
od: Wickham, Hadley
Izdano: (2019)

Marketing Data Science : Modeling Techniques in Predictive Analytics with R and Python
od: Miller Thomas W.
Izdano: (2019)

R GRAPHICS
od: MURRELL, PAUL
Izdano: (2011)

Python for R Users
od: Ohri, Ajay
Izdano: (2018)

INTRODUCTORY STATISTICS WITH R
od: DALGAARD, PETER
Izdano: (2008)

R IN A NUTSHELL
od: ADLER, JOSEPH
Izdano: (2012)

Text Mining with R: A Tidy Approach
od: Silge, Julia
Izdano: (2019)

DYNAMIC DOCUMENTS WITH R AND KNITR
od: XIE YIHUI
Izdano: (2015)

Introducing Data Science
od: Cielen, Davy
Izdano: (2016)

Introducing Data Science
od: Cielen, Davy
Izdano: (2016)

Beginning R
od: Gardener, Mark
Izdano: (2012)

Beginning R
od: Gardener, Mark
Izdano: (2012)

SOFTWARE FOR DATA ANALYSIS
od: CHAMBERS JOHN M
Izdano: (2008)

Beginning data science in R : data analysis, visualization, and modelling for the data scientist
od: Mailund Thomas
Izdano: (2021)

HANDS ON PROGRAMMING WITH R
od: GROLEMUND GARRETT
Izdano: (2017)

Mastering RStudio - Develop, Communicate, and Collaborate with R: Harness the Power of RStudio to Create Web Applications, R Packages, Markdown Reports and Pretty Data Visualizations
od: Hillebrand, Julian
Izdano: (2015)

BEGINNING R : STATISTICAL PROGRAMMING LANGUAGE
od: GARDENER MARK
Izdano: (2017)

Machine Learning with R: Discover how to build Machine Learning Algorithms, prepare data, and dig deep into data prediction techniques with R
od: Lantz, Brett
Izdano: (2015)

Python Data Science Handbook: Essential Tools for Working with Data
od: Vanderplas, Jake
Izdano: (2017)

R Projects
od: Schmuller, Joseph
Izdano: (2018)

Discovering Statistics Using R
od: Field, Andy
Izdano: (2023)

R Programming for Dummies
od: De Vries, Andrie
Izdano: (2015)

R in a Nutshell
od: Adler, Joseph
Izdano: (2012)

Applied Econometrics with R
od: Kleiber, Christian
Izdano: (2008)

Practical Business Analytics Using SAS: A Hands-on Guide
od: Konasani, Venkat Reddy
Izdano: (2015)

Big Data and Analytics
od: Morabito, Vincenzo
Izdano: (2015)

Python for R Users: A Data Science Approach
od: Ohri, Ajay
Izdano: (2018)

VISUAL BASIC 6 FROM THE GROUND UP: BUILD WINDOWS AND INTERNET APPLICATIONS STEP BY STEP
od: CORNELL GARY
Izdano: (1998)

PROGRAMMING WITH BASIC 6.0
od: AZAM MOHAMMED
Izdano: (2000)

Big Data Analytics: Introduction to Hadoop, Spark, and Machine-Learning
od: Kamal, Raj
Izdano: (2019)

Data Analytics Using R
od: Acharya, Seema
Izdano: (2019)

Data Analysis Using SQL and Excel
od: Linoff, Gordon S.
Izdano: (2018)

Beginning R: The Statistical Programming Language
od: Gardener, Mark
Izdano: (2018)

Data analysis and visualization using Python: : analyze data to create visualizations for BI systems
od: Embarak Ossama
Izdano: (2021)

Introduction to Machine Learning with Python: A Guide for Data Scientists
od: Muller, Andreas C.
Izdano: (2019)

R and Data Mining : Examples and Case Studies
od: Zhao, Yanchang
Izdano: (2013)

Fundamentals of Python
od: Lambert, Kenneth A. (et.al)
Izdano: (2015)

Statistical Inference
od: Casella George
Izdano: (2013)

Practical Python data wrangling and data quality
od: McGregor Susan E.
Izdano: (2022)