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Machine Learning with Spark on Google Cloud Dataproc

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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

Syllabus

  • 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!

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