Using XGBoost in pipelines | Chan`s Jupyter

[utterances-bot]

Using XGBoost in pipelines | Chan`s Jupyter

Take your XGBoost skills to the next level by incorporating your models into two end-to-end machine learning pipelines. You’ll learn how to tune the most important XGBoost hyperparameters efficiently within a pipeline, and get an introduction to some more advanced preprocessing techniques. This is the Summary of lecture “Extreme Gradient Boosting with XGBoost”, via datacamp.

https://goodboychan.github.io/python/datacamp/machine_learning/2020/07/07/03-Using-XGBoost-in-pipelines.html

[jxu]

XGBoost has experimental support for categorical variables directly
https://xgboost.readthedocs.io/en/stable/tutorials/categorical.html