Project Brief
Creating a gradient boosting regressor from scratch and visualising it as well as training it on sklearn diabetes dataset and benchmarking against sklearn gradient boosting regressor method
Accomplishments
- Implemented gradient boosting regressors from scratch using stumps as estimators
- Visualised the step by step process of how gradient boosting works
- Benchmarked my own gradient regression boosting method against sklearn’s gradient boosting regressor on the sklearn diabetes dataset
Technologies Used:
- Pytorch
- Numpy
Gallery
