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pbiecek / InterpretableMachineLearning2020

Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020
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Dataset: COVID-19 #16

Open pbiecek opened 4 years ago

pbiecek commented 4 years ago

Problem

This is a classification problem. On the basis of available data one needs to build and explain a predictive model for mortality of COVID-19. The most basic model shall use gender, age and country as predictive variables. The most advanced - be creative.

Data

The data can be downloaded from the website (data on individual level) https://docs.google.com/spreadsheets/d/1itaohdPiAeniCXNlntNztZ_oRvjh0HsGuJXUJWET008/edit#gid=429276722 Note that there may be a larger number of interesting sources of data.

pbiecek commented 4 years ago

A teaser: https://pbiecek.github.io/explainCOVID19/

pbiecek commented 4 years ago

12 Must See Coronavirus Data Sets for Data Scientists and Researchers https://machinelearningknowledge.ai/must-see-coronavirus-data-sets-for-data-scientists-and-researchers/

pbiecek commented 4 years ago

https://ourworldindata.org/coronavirus