There are many Gradient-Boosting-Classifier templates available on GitHub, however, I didn't find one that needs heavy editing or was automated enough for an easy use. Also most seem to lack important ...

This project applies Gradient Boosting to predict the outcome of Kickstarter campaigns and uses K-means Clustering to uncover project trends, providing deeper insights into their distinct features ...

Implementing LightGBM in Python. LightGBM can be installed using Python Package manager pip install lightgbm. LightGBM has its custom API support. Using this support, we are using both Regressor and ...

For example, you might want to predict a person's political leaning (conservative, moderate, liberal) from sex, age, state of residence and annual income. There are many machine learning techniques ...

Gradient boosting machines are a family of powerful machine-learning techniques that have shown considerable success in a wide range of practical applications. They are highly customizable to the ...

The guiding principle behind decision trees, random forests, and gradient boosting is that a group of “weak learners” or classifiers collectively make strong predictions. A random forest ...