Rather than create an entirely new lesson, I’d like you to work through the caret portion of Jakub Nowosad’s intro to ML in R. This should give you the hang of the core concepts without getting you too bogged down in all the details of the different packages.
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title: "Random Forests for Spatial Data"
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Rather than create an entirely new lesson, I'd like you to work through the `caret` portion of [Jakub Nowosad's](https://geocompx.org/post/2025/sml-bp1/) intro to ML in `R`. This should give you the hang of the core concepts without getting you too bogged down in all the details of the different packages.