Date
Nov 9, 2022 08:30 PM Pacific TimeĀ (US and Canada)
Kubeflow familiarity
Beginner to Intermediate
About the Workshop
In this workshop weāll show how to turn Kaggleās Titanic – Machine Learning from Disaster competition into a Kubeflow Pipeline using the KFP SDK and the Kale JupyterLab extension.
About the Kaggle Competition
The sinking of the Titanic is one of the most infamous shipwrecks in history.
On April 15, 1912, during her maiden voyage, the widely considered āunsinkableā RMS Titanic sank after colliding with an iceberg. Unfortunately, there werenāt enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew.
While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others.
In this challenge, we ask you to build a predictive model that answers the question: āwhat sorts of people were more likely to survive?ā using passenger data (ie name, age, gender, socio-economic class, etc).