January 2018
Beginner to intermediate
316 pages
7h 14m
English
Content preview from Feature Engineering Made Easy
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Unsupervised learning example – marketing segments
Suppose we are given a large (one million rows) dataset where each row/observation is a single person with basic demographic information (age, gender, and so on) as well as the number of items purchased, which represents how many items this person has bought from a particular store:
|
Age |
Gender |
Number of items purchased |
|
25 |
F |
1 |
|
28 |
F |
23 |
|
61 |
F |
3 |
|
54 |
M |
17 |
|
51 |
M |
8 |
|
47 |
F |
3 |
|
27 |
M |
22 |
|
31 |
F |
14 |
This is a sample of our marketing dataset where each row represents a single customer with three basic attributes about each person. Our goal will be to segment this dataset into types or clusters of people so that the company performing ...
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