Sept 28, 2022, 6:00-7:00 AM Pacific (US and Canada)
Beginner to Intermediate.
About the Workshop
In this workshop we’ll show how to turn Kaggle’s OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction competition into a Kubeflow Pipeline using the KFP SDK and the Kale JupyterLab extension.
About the Kaggle Competition
In this competition, we are looking to leverage the data science expertise of the Kaggle community to develop models and design rules for RNA degradation. Your model will predict likely degradation rates at each base of an RNA molecule, trained on a subset of an Eterna dataset comprising over 3000 RNA molecules (which span a panoply of sequences and structures) and their degradation rates at each position. We will then score your models on a second generation of RNA sequences that have just been devised by Eterna players for COVID-19 mRNA vaccines. These final test sequences are currently being synthesized and experimentally characterized at Stanford University in parallel to your modeling efforts — Nature will score your models!
This workshop is for individuals already familiar with machine learning, but new to Kubeflow.