How to Efficiently Handle Splitting into Batches in Sklearn for Large Datasets?

Wow, thanks everyone for the awesome tips! I tried `Dask` and `Pandas’ chunksize`, and it’s already way better. Still figuring out `KFold` with `n_splits`, but it’s looking promising.

Quick question though—anyone know if `Dask-ML` works well with `Pipeline`? I’m trying to combine them for incremental learning, but it’s a bit confusing.

Thanks again, y’all are legends! 🙌