April 2017
Beginner to intermediate
420 pages
9h 58m
English
book
Mastering Machine Learning with R - Second Edition
by Cory Lesmeister, Doug Ortiz, Vikram Dhillon, Miroslav Kopecky
Content preview from Mastering Machine Learning with R - Second Edition
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Sequential analysis applied
For this exercise, I've created an artificial dataset; to follow along, you can download it from GitHub:
https://github.com/datameister66/data/blob/master/sequential.csv
There are also datasets available with the package and tutorials are available. My intent was to create something new that mirrored situations I have encountered. I developed it completely from random (with some supervision), so it does not match any real world data. It consists of 5,000 observations, with each observation, the history of a customer and nine variables:
- Cust_segment--a factor variable indicating the customer's assigned segment (see Chapter 8, Cluster Analysis)
- Eight discrete purchase events named Purchase1 through Purchase8
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
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.