Last week we hosted a free workshop based on Kaggle’s Bluebook for Bulldozers machine learning example. The notebook is based on a Kaggle project whose goal is to predict the sale price of a piece of heavy equipment at auction based on its usage, equipment type, and configuration. The data is sourced from auction result postings and includes information on usage and equipment configurations. The results should create a “Blue Book for Bulldozers,” so people can better understand what price their heavy equipment fleet will bring at auction. In this blog post we’ll recap some highlights from the workshop. Ok, let’s dig in.
First, thanks for voting for your favorite charity!
With the unprecedented circumstances facing our global community, Arrikto is looking for even more ways to contribute. With this in mind, we thought that in lieu of swag we could give workshop attendees the opportunity to vote for their favorite charity and help guide our monthly donation to charitable causes. The charity that won this workshop’s voting was The Malala Fund. The Malala Fund is an international, non-profit organization that advocates for girls’ education investing in education programs that help them go to school and reach their full potential. We are pleased to be making a donation of $100 to them on behalf of the workshop attendees. Again, thanks to all of you who attended and voted!
What topics were covered in the workshop?
- Kubeflow Overview
- Notebook Basics
- Getting the Bulldozer Notebook Up and Running
- Exploring the Bulldozer Notebook
- Pipeline Basics
- Hyperparameter Tuning
- Run an AutoML Workflow with the Bulldozer Example
- Inference Servers, Running Predictions and TensorBoards
What did I miss?
Here’s a short teaser from the 45 minute workshop where I walked folks how to serve the best model we identified after several experiments with Kubeflow.
Want to see more? Here’s the YouTube playlist of all the demos featured in the workshop.
Install MiniKF
In the workshop I showed how MiniKF is the easiest way to get started with Kubeflow on the platform of your choice (AWS or GCP).
Want to try it for yourself? Here’s the links:
Try the Bluebook for Bulldozers Example for Yourself
If you’d like to work through the Bluebook for Bulldozers notebook yourself, check out the guided tutorial on Arrikto Academy.
Need help?
Join the Kubeflow Community on Slack and make sure to add the #minikf channel to your workspace. The #minikf channel is your best resource for immediate technical assistance regarding all things MiniKF!
Missed the March 23 workshop?
If you were unable to join us this week, but would still like to attend a workshop in the future, register for one of these upcoming workshops.