When asked about his approach to data science problems, Sergey Yurgenson, the Director of data science at DataRobot, said he would begin by creating a benchmark model using Random Forests or XGBoost with minimal feature engineering. A neurobiologist (Harvard) by training, Sergey and his peers on Kaggle have used XGBoost(extreme gradient boosting), a gradient boosting…

The post Deep Learning, XGBoost, Or Both: What Works Best For Tabular Data? appeared first on Analytics India Magazine.