Favorite ML Example?

I feel like a lot of kaggle examples use really simple data sets that you don’t ever find in the real world scenarios(like the Titanic data set for instance).

Does anyone know any notebooks/examples that start with really messy data? I really want to see someone go through the process of EDA/Feature engineering with data sets that have more than 20 variables.

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