XGBoost Regression Algorithm using Python in Machine Learning - XGBRegressor Parameter Tuning

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XGBoost stands for "Extreme Gradient Boosting" and it is an implementation of gradient boosting trees algorithm. The XGBoost is a popular supervised machine learning model with characteristics like computation speed, parallelization, and performance.
I use Sales Advertising dataset as a regression dataset in this tutorial. After loading the dataset, first, we'll separate data into x - feature and y - label. Then we'll split them into the train and test parts.

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XGBoost Regression Algorithm using Python in Machine Learning - XGBRegressor  Parameter Tuning
For the regression problem, we'll use the XGBRegressor class of the xgboost package and we can define it with its default parameters. You can also set the new parameter values according to your data characteristics

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Created:	17. 2. 2021 21:16:57

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XGBoost Regression Algorithm using Python in Machine Learning - XGBRegressor Parameter Tuning