Extreme Gradient Boosting with XGBoost

Are you familiarized with supervised learning? Are you looking to apply state of the art models to real-world data using state-of-the-art techniques? Gradient boosting is one the most popular methods for efficiently modeling tabular data of any size. XGboost is a fast, scalable solution for gradient boosting that has won numerous online data science contests. XGBoost models are widely used in different industries. This course will show you how to use scikit and pandas to create and tune supervised learning models. Real-world data will be used to solve classification and regression problems.