March 2014
Beginner to intermediate
416 pages
13h 36m
English
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Table of Contents
1. Introduction to data science
Chapter 1. The data science process
1.1. The roles in a data science project
1.2. Stages of a data science project
1.2.2. Data collection and management
1.2.4. Model evaluation and critique
1.3.1. Determining lower and upper bounds on model performance
Chapter 2. Loading data into R
2.1. Working with data from files
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.