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Building Gradient Boosting Models: Model Building Process and Principles

This is the second video in a series on building Gradient Boosting Models.

We will discuss the goals of the model-building process and strategies to accomplish those goals. We then begin working hands-on to demonstrate how to explore and interrogate data to further your understanding of the dataset. We will use the Ames housing dataset as an example to work through.

Github:
https://github.com/numeristical/resources/blob/master/Building_GB_Models/BuildGBModel.ipynb

Видео Building Gradient Boosting Models: Model Building Process and Principles канала numeristical
Яндекс.Метрика

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