Debugging Machine Learning

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Michał Łopuszyński gives valuable hints for debugging machine learning models in his presentation at PyDataWarsaw 2017: 1) check your code; 2) check your data; 3) examine your features; 4) examine your data points; 5) examine your model; 6) watch out for overfitting; 6) watch out for data leakage; 7) watch out for covariate shift; 8) remember monitoring & maintenance.

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