[R] Predictive analysis based on past data
Winson.Lui at bwinparty.com
Wed Dec 28 11:23:43 CET 2016
I have a historical dataset which tells who bought our products. This dataset contains ID, Age, Gender and Salary.
I have another set of data which contains the four fields above.
How should I use R to calculate the probability of purchase of each customer in the second dataset or whether they would buy our products (T/F)?
Should I use glm function? If yes, how should I approach this?
M: +44 (0) 79 1714 6247
E: winson.lui at bwinparty.com<mailto:winson.lui at bwinparty.com>
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