InterpretableMachineLearning2020
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pbiecek
Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020
https://www.youtube.com/playlist?list=PLWjm4hHpaNg6c-W7JjNYDEC_kJK9oSp0Y
## 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...
## Problem This is a binary classification problem. On the basis of historical data, models (of varying degrees of complexity) should be developed to predict the risk of suspension of...
## Problem This is a regression problem. The goal is to identify, which statements made during press conferences by the Chairman of the US Federal Reserve were associated with the...
## Problem This is a binary classification problem. On the basis of historical data, models (of varying degrees of complexity) should be developed to predict the chances of default (credit...
### **Problem** This is a binary classification problem. On the basis of historical data, models (of varying degrees of complexity) should be developed to predict the purchase uplift of marketing...
## Problem This is a regression problem. On the basis of historical data, models (of varying degrees of complexity) should be developed to predict the COMPAS scores. The best models...
## Problem This is a binary classification problem. On the basis of historical data, models (of varying degrees of complexity) should be developed to predict the odds of survival after...
## Problem This is a regression problem. On the basis of historical data, models (of varying degrees of complexity) should be developed to predict Average Daily Rate. The best models...
## Problem This is a regression problem. On the basis of historical data, models (of varying degrees of complexity) should be developed to predict the house sale prices. The best...