Practical Data Science With R Nina Zumel; John Mount

By:

Zumel, Nina

Contributor(s):

Mount, John [auth.]

Material type: Text

TextLanguage: English Publication details: New Delhi Dreamtech Wiley imprint c2014Description: xxiv; 389 P.BISBN:

9789351194378

Subject(s):

PRACTICAL DATA SCIENCE WITH R

DDC classification:

006.3 ZUM(PRA)

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Item type	Current library	Call number	Vol info	Copy number	Status	Barcode
Commerce Books	St. Xavier's University, Kolkata Lending Section	006.3 ZUM(PRA) (Browse shelf(Opens below))	S.X.U.K	4873	Available	L970
Commerce Books	St. Xavier's University, Kolkata Lending Section	006.3 ZUM(PRA)C1 (Browse shelf(Opens below))	S.X.U.K	4875	Available	L969

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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

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