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Machine learning models for longitudinal data

I’m new to machine learning and just trying to understand its implementations in R especially using tidymodels.
I have data, that from stat analysis perspective, can be handled by a mixed linear model. However, I’m exploring ML algorithms for potentially better prediction. I’m considering algorithms like neural network, SVM, etc. I’m wondering if there’s a way that I can get these algos to account for the fact that several records are coming from the same unit. Can I use tidymodels to perform this type of modeling?
I’m not sure this is the best place to ask this but I’d be glad if someone could point me to the right place.