What:
A way of splitting up and training on your data (for ML), but when you don’t have enough data to do clean splits like in Train-Test Split.
How:
You split your data up into chunks / subsets / folds. Each fold has a mini-split of train/test set. Then you train on every fold. Typically have around 5-10 folds.