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

Yo! For splitting into batches sklearn, I’d recommend `KFold` with `n_splits` set to a higher number. It’ll split your data into smaller chunks.

Also, check out `Dask`—it’s like pandas but handles big data way better.

And yeah, avoid loading everything into memory. Use `Pandas’ chunksize` or switch to a database like MySQL.