For tabular data always start with a Decision Trees based approach! As explained here, it is very fast. Recommended by Jeremy Howard, because a Tree is hard to mess it up. The most efficient way to solve problems in tabular ML nowadays is just making XGBoost / LightGBM / CatBoost work.