Beginners Guide: Apache Spark Python – Machine Learning Scenario With A Large Input Dataset

In the previous post "Beginners Guide: Apache Spark Machine Learning Scenario With A Large Input Dataset" we discussed the process of creating predictive model with 34 gigabytes of input data using Apache Spark. I received a request for the Python code as a solution instead of Scala. This is exactly what I will do in this post. Python solution looks similar to the last Scala solution because when you look "under the hood" you have the same Spark library and engine. Because of this fact, I don't anticipate any significant performance change.