Excellent summary/reference resources for model selection (based on business problem) and performance evaluation

I’m looking for some resources with excellent summaries of the following, with an emphasis on the “summary” part:

* Which types of common models to use for different types of business problems, with examples ideally

* Common algorithms for each models: i.e. for a binary classification problem, you could use any number of classification models (regressors (Logistic, XGB), SVM, forests/trees, etc….when to use which?
* What is needed to prepare your input datasets for these different algorithms?

* Which need …

business datascience evaluation model selection performance reference resources summary