Kaggle’s Titanic Problem

Solve Kaggle’s Titanic Problem w/ Kubeflow, Kale and MLOps

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The Kaggle Titanic Disaster Survivor Prediction problem is a popular Data Science topic. In this course, you will explore how to solve this problem with Kubeflow. In addition, you’ll learn how the work you are doing is the foundation for an effective and self-sustainable MLOps culture and platform solution that you can undertake at your enterprise.

This course is approximately 90 minutes long.

In this course, you will:

  • Learn about Kaggle.
  • Learn about Kubeflow.
  • Learn about MLOps.
  • Use Jupyter Notebooks in Kubeflow to review the Kaggle Titanic Disaster Survivor Prediction Problem Solution.
  • Use Kale to convert a Jupyter notebook into a Kubeflow pipeline.
  • Load the Kubeflow Pipeline Snapshots in new notebook servers.
  • Perform basic debugging of a Kubeflow pipeline.
  • Relate the activities in this course back to the core tenents of MLOps.


Arrikto Academy assumes that you have familiarity with popular Data Science concepts and have used some of these philosophies in practice.