Machine Learning with Spark on Google Cloud Dataproc

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset

• Prepare the Spark interactive shell on Dataproc
• Develop a logistic regression ML model using Spark
• Evaluate predictive behavior of ML model on Google Cloud

• Basic familiarity with software or workflow
• Ability to follow step-by-step instructions in English