Decision Tree

Random Forest (A bunch of trees - average)

Ada Boosting :

Cube factoring on many depth one trees . The second depth one tree trains on the false positives and negs from the first one and so forth… Take the best by combining

Gradient Boosting

XG Boost (External to scikit learn)

There's both classifier and regressor

The only one here that don't need scaling