Zumel, Nina
Practical Data Science with R - New Delhi Dreamtech Press 2016,2003 - 389
Part 1 Introduction to data science
The data science process
· Loading data into R
Exploring data
Managing data
Part 2 Modeling methods
Choosing and evaluating models
Memorization methods
· Linear and logistic regression
Unsupervised methods
Exploring advanced methods
Part 3 Delivering results
Documentation and deployment
Producing effective presentations
978-93-5119-437-8
Allied Informatics, Jaipur
Computer Science
R Language
006.3 / ZUM
Practical Data Science with R - New Delhi Dreamtech Press 2016,2003 - 389
Part 1 Introduction to data science
The data science process
· Loading data into R
Exploring data
Managing data
Part 2 Modeling methods
Choosing and evaluating models
Memorization methods
· Linear and logistic regression
Unsupervised methods
Exploring advanced methods
Part 3 Delivering results
Documentation and deployment
Producing effective presentations
978-93-5119-437-8
Allied Informatics, Jaipur
Computer Science
R Language
006.3 / ZUM