The Reddit post asks for recommendations on the best machine learning models for regression of vehicle kerb weight using engineering specifications such as dimensions, engine displacement, power, and drivetrain. The author wonders whether deep learning approaches like MLP, TabNet, or FT-Transformer are worthwhile compared to traditional methods for this tabular dataset. Read original