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Book Details
Table of Contents
Part 1: The tools of the trade
R: what it does and how it does it
Working with packages
Getting graphic
Part 2: Interacting with a user
Working with a browser
Dashboards
how dashing!
Part 3: Machine learning
Tools and data for machine-learning projects
Decisions, decisions, decisions
Into the forest, randomly
Support your local vector
K-means clustering
Neural networks
Part 4: Large(ish) data sets
Exploring marketing
From the city that never sleeps
Part 5: Maps and images
All over the map
Fun with pictures
Part 6: The part of tens
More than ten packages for your R-projects
More than ten useful resources.
Edition Notes
Includes bibliographical references (pages 327-329) and index.
Classifications
The Physical Object
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Feedback?September 20, 2021 | Edited by ImportBot | import existing book |
May 24, 2019 | Created by MARC Bot | import new book |