Date
Nov 23, 2022, 8:30-9:30 PM Pacific Time
Kubeflow familiarity
Beginner to Intermediate
About the Workshop
In this workshop we’ll show how to turn Kaggle’s G-Research Crypto Forecasting competition into a Kubeflow Pipeline using the KFP SDK and the Kale JupyterLab extension.
About the Kaggle Competition
In the cryptocurrency world, price volatility is a major problem. A lucky few have become millionaires as a result of rapidly fluctuating prices, while others have suffered significant losses. Financial market forecasting using predictive analytics has become popular as a result of the need to predict price movements ahead of time. Traders and investors can now make better financial decisions with the help of predictive analytics, reducing losses and increasing profits.
In this competition, you will develop machine learning models that can effectively forecast the short-term returns of 14 popular cryptocurrencies.