Using XGBoost in pipelines | Chan`s Jupyter

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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