Best Practices: How to Split Dataset into Batches for Efficient Training?

Hey! Shuffling is def a must for splitting datasets into batches. I usually go for equal-sized batches cuz it keeps things consistent, but if your data’s imbalanced, stratified sampling is the way to go.

For tools, check out scikit-learn’s `train_test_split` or TensorFlow’s `tf.data.Dataset.batch`. They make life so much easier. Also, if your GPU’s struggling, try reducing batch size incrementally until it stops crying lol.

Imbalanced datasets? Ugh, the worst. Oversampling or undersampling can help, but stratified sampling is my go-to.