On June 30th, we hosted the first Natural Language Processing with Disaster Tweets workshop. In this workshop we showed how to turn Kaggle’s Natural Language Processing with Disaster Tweets competition into a Kubeflow Pipeline using the KFP SDK and the Kale JupyterLab extension. In this blog post we’ll recap some highlights from the workshop and preview what’s next!
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 International Committee of the Red Cross (ICRC). Since 1863, the mission of the International Committee of the Red Cross (ICRC) has been to protect and assist victims of armed conflict and promote understanding and respect for international humanitarian law. 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!
About the Kaggle Competition
In this competition, you’re challenged to build a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t. You’ll have access to a dataset of 10,000 tweets that were hand classified.
What topics were covered in the workshop?
- Overview of Kubeflow
- Installing Kubeflow
- About the Kaggle’s Disaster Tweets Competition
- Turning the Disaster Tweets competition into a Kubeflow Pipeline with the KFP SDK
- Turning the Disaster Tweets competition into a Kubeflow Pipeline with the Kale JupyterLab extension
- Comparing the Methods
What did I miss?
Here’s a short demo where Jimmy Guerrero walked folks through the notebook that turns Kaggle’s NLP Disaster Tweets competition into a Kubeflow Pipeline using the Kale JupyterLab extension.
Want to see more? Here’s the YouTube playlist of all the demos featured in the workshop.
Ready to get started with Kubeflow?
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Try More Use Cases for Yourself
If you’d like to walk through more Kubeflow use cases yourself, visit Arrikto Academy. Here’s some of the available courses:
- Kaggle’s Open Vaccine COVID-19 mRNA Vaccine Degradation Prediction
- Kaggle’s Titanic Disaster Survivor Prediction
- Kaggle’s Blue Book for Bulldozers Machine Learning Example
- Dog Breed Classification Example
- Distributed Training and Model Serving
- Kaggle’s Digit Recognizer Machine Learning Example
Missed the June 30 workshop?
If you were unable to join us last week, but would still like to attend a workshop in the future, register for one of these upcoming workshops.
You can also sign up for the next Disaster Tweets Workshop on Sep 21 directly here.