

How he built the best Covid forecasting model, lessons learned and how to improve model performance with Youyang Gu - The Data Scientist Show#032
22 snips Mar 31, 2022
Youyang Gu, creator of covid19-projections.com, shares how he built an accurate Covid forecasting model using the SCIR model. He discusses the challenges faced when working with Covid data, the process of adjusting and tweaking the model, and the inclusion of additional features like school reopenings. Gu's model gained attention, leading to its inclusion on the CDC's website. He explores the effectiveness of crowdsourcing and the importance of diverse sources in forecasting. Gu is currently working on a project analyzing Covid mortality and inequalities within and between countries.
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Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10
Introduction
00:00 • 2min
Career Journey, Machine Learning, and Modeling Experience
01:36 • 2min
Building a COVID Projection Model
03:59 • 6min
Constructing the Covid Forecasting Model
10:27 • 24min
Adjustment and Tweaking of the Covid Forecasting Model
34:50 • 20min
Gaining Attention and Building Credibility
54:34 • 34min
Exploring the Difference Between Crowdsourcing and Groupthink
01:28:51 • 4min
Influential Books and Blogs on Forecasting and Data Analysis
01:32:57 • 3min
Analyzing COVID Mortality and Inequalities
01:35:54 • 25min
Finding and Following the Speaker's Work Online
02:01:11 • 2min