Machine Learning with Spark on Google Cloud Dataproc

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

• GSP271
• Overview
• Setup and requirements
• Task 1. Create a Dataproc cluster
• Task 2. Set up bucket and start pyspark session
• Task 3. Read and clean up dataset
• Task 4. Develop a logistic regression model
• Task 5. Save and restore a logistic regression model
• Task 6. Predict with the logistic regression model
• Task 7. Examine model behavior
• Task 8. Evaluate the model
• Congratulations!