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Lesson 5 - Gradient Boosting with XGBoost

Machine Learning with Python: Zero to GBMs

The following topics are covered in this lesson:

  • Downloading a real-world dataset from a Kaggle competition
  • Performing feature engineering and prepare the dataset for training
  • Training and interpreting a gradient boosting model using XGBoost
  • Training with KFold cross-validation and ensembling results
  • Configuring the gradient boosting model and tuning hyperparameters

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