Learn how to use the gradient boosting machine learning model in python find the sample code at DataSimple.education
https://www.datasimple.education/ml-s...
In this lesson, we will go through the common hyperpparameters that you should concentrate on tuning while building the gradient boosting ML model. This includes the estimators. also because the is using gradient descent like a neural network we need to pay special attention to the learning rate and loss hyperparameters. We will also look at using graphviz to plot the individual decision trees in our gradient boosting model.