Using Keras To Predict Customer Churn

Matt Dancho has an example of building a neural net using Keras to predict customer churn:

Pro Tip: A quick test is to see if the log transformation increases the magnitude of the correlation between “TotalCharges” and “Churn”. We’ll use a few dplyr operations along with the corrr package to perform a quick correlation.

• correlate(): Performs tidy correlations on numeric data

• focus(): Similar to select(). Takes columns and focuses on only the rows/columns of importance.

• fashion(): Makes the formatting aesthetically easier to read.

This is a very useful tutorial.