XGBoost is an acronym for Extreme Gradient Boosting. It is a powerful machine learning algorithm that can be used to solve classification and regression problems. In this project, I implement XGBoost with Python and Scikit-Learn to solve a classification problem. The problem is to classify the customers from two different channels as Horeca (Hotel/Retail/Café) customers or Retail channel (nominal) customers.
Parham-Dehghan/XGBoost-Tutorial
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