[D] What classification algorithms allow for time-series datasets? • r/MachineLearning

In binary classification problems such as predicting probability of churn or probability of default, it makes sense to have a time-series dataset (multiple observations for each account, with each observation representing a unique point-in-time). I imagine this dataset structure violates standard logistic regression, but could more advanced regression forms (such as generalized linear mixed models) or tree-based algorithms handle this type of dataset structure?