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Apache Spark Deep Learning Cookbook
book

Apache Spark Deep Learning Cookbook

by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
July 2018
Intermediate to advanced content levelIntermediate to advanced
474 pages
13h 37m
English
Packt Publishing
Content preview from Apache Spark Deep Learning Cookbook

How it works...

One of the key steps to building a successful logistic regression model is establishing a binary target variable that will be used as the prediction outcome. This section walks through the logic behind selecting our target variable:

  1. Data profiling of potential target columns is performed by identifying the unique column values of Call Type Group. We can view the unique values of the Call Type Group column, as seen in the following screenshot:
  1. The goal is to identify whether there are any missing values within the Call Type Group column and what can be done with those missing values. Sometimes, the missing values in the columns ...
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Publisher Resources

ISBN: 9781788474221Supplemental Content