March 2014
Beginner to intermediate
416 pages
13h 36m
English
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List of Listings
Chapter 1. The data science process
Listing 1.1. Building a decision tree
Listing 1.2. Plotting the confusion matrix
Listing 1.3. Plotting the relation between disposable income and loan outcome
Chapter 2. Loading data into R
Listing 2.1. Reading the UCI car data
Listing 2.2. Exploring the car data
Listing 2.3. Loading the credit dataset
Listing 2.4. Setting column names
Listing 2.5. Building a map to interpret loan use codes
Listing 2.6. Transforming the car data
Listing 2.7. Summary of Good.Loan and Purpose
Listing 2.8. PUMS data provenance documentation
Listing 2.9. SQL Screwdriver XML configuration file
Listing 2.10. Loading data with SQL Screwdriver
Listing 2.11. Loading data into R from a relational database
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.