Machine Learning Approach to Kaggle COVID 19 Global Forecasting Challenge

Sponsor(s): Statistical Science
Dr. Gunes will go over a machine learning approach that her team took to forecast daily COVID total confirmed cases and fatalities worldwide for a Kaggle competition. This will cover using visualizations to help guide data preprocessing, enhancing original data with external resources, creating new informative variables with interesting feature engineering techniques, our modeling and ensemble modeling approach.
Type: LECTURE/TALK
Contact: Master's Director Funda Güneş