Implementing Random Forest

In this post, we’ll walk through basic concepts behind Random Forest, discuss practical problems of implementation, such as highly correlated features, feature sparsity, imbalanced classes. Then, compare the concepts and performance of Random Forest to Boosting Trees and Decision Tree! If you want to discuss anything or find an error, feel free to email me at lvqingchuan@gmail.com :)