Any good article/video suggestion on modelling strategies of a DL tabular data model?

I am interested in modelling techniques of tabular data prediction problems like for e.g. predicting stocks return or estimating outcome of a sports event/horse race. Things that I would like to learn about are mainly:

  1. Modelling approach (as in how to model the problem, model structure etc.)
  2. Feature selection, engineering and representation
  3. Ways to evaluate and compare performance of a model with stats

Any recommendation/ discussion/ chats will be very much appreciated! ^^

You can follow @muellerzr, he has built stock of great materials on tabular DL over fastai.tabular.

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