Following steps are mostly not necessary in real-world projects but can work very well in Kaggle competitions!

Meta-features based on rows and columns

Target encoding

Using feature importance to evaluate your work

Bad Label Detection

Pseudo-labeling

Denoising with autoencoders

Neural networks for tabular competitions