Gradient Boosting
Ahh, gradient boosting. In addition to having a totally kickass name, this family of machine learning algorithms is currently among the best known approaches for prediction problems on structured data. This series of posts strives to give a comprehensive understanding of gradient boosting by providing intuitive mathematical explanations, from-scratch implementations of key algorithms, and examples of how to apply modern gradient boosting libraries to solve practical data science problems.
I recommend reading through the series in order, since concepts tend to build on earlier ideas.
Decision Tree from Scratch
python
gradient boosting
from scratch
XGBoost Explained
gradient boosting
xgboost
XGBoost from Scratch
python
gradient boosting
xgboost
from scratch
XGBoost for Regression in Python
python
tutorial
gradient boosting
xgboost
Gradient Boosting Multi-Class Classification from Scratch
python
gradient boosting
from scratch
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