What i'm working on right now - age gender ethnicity face dataset

 I downloaded datase form kaggle. It has age gender, ethnicity labels for photos of people's faces. I downloaded it because it's small and straightforward. I'm going to attempt to see how far accuracy i can get using a combination of straight forward linear regression using vowpal wabbit and feature engineering haskell. I have some ideas I want to try out on it. like  introduction of noise at various levels (it might be what are known as diffusionmodels, though i'm not completely sure thatis what they are).

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