Earlier it was Random forest , the go-to algorithm for classification problems in most of the data science competitions. Correctly formulated problem , with smart feature engineering and minimal tuning of the RF algorithm ( ntree, mtry) using grid search could get you past the bulk of the crowd . Then came Xgboost and it soon became the hot favorite.  It isn't very tough to say Deep learning is r…