All You Need to Know about Gradient Boosting Algorithm: Part 1. Regression

Algorithm explained with an example, math, and code

Gradient boosting is one of the most popular machine learning algorithms for tabular datasets. It is powerful enough to find any nonlinear relationship between your model target and features and has great usability that can deal with missing values, outliers, and high cardinality categorical values on your features without any special treatment. While you can build barebone gradient boosting trees using some popular libraries such as …

algorithm algorithms data science gradient gradient-boosting machine learning part regression