Blue Book for Bulldozers

Solve Kaggle’s Blue Book for Bulldozers Problem w/ Kubeflow, Kale and MLOps

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About

The Kaggle Blue Book for Bulldozers 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 Blue Book for Bulldozers Problem Solution
• Use Kale to convert a Jupyter Notebook into a Kubeflow Pipeline.
• Use AutoML to perform Hyperparameter Tuning on the ideal Blue Book for Bulldozers model.
• Serve the ideal Blue Book for Bulldozers model from a Jupyter Notebook.
• View the Training Logs for the Model using TensorBoard.
• Relate the activities in this course back to the core tenents of MLOps.

Instructor Led Option

If you would prefer to take the course live, this course is available on a monthly basis with an instructor. If this is your preference, navigate and sign up here.

Requirements

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