Building XGBoost Model in Python
XGBoost, which stands for Extreme Gradient Boosting, is a scalable, distributed gradient-boosted decision tree machine learning library.
It provides parallel tree boosting and is the leading machine learning library for regression, classification, and ranking problems.
I explained the XGBoost model written from scratch.
Then I compared XGBoost models from scratch and from the library.
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The Python code is uploaded into https://github.com/AIMLModeling/XGBoost
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