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…
Most Popular Content on DSC
To not miss this type of content in the future, subscribe to our newsletter.
Other popular resources
Most popular articles