/XGBoost-Tutorial

XGBoost is a popular open source library for machine learning, known for its speed, scalability, and accuracy.

MIT LicenseMIT

xgboost

XGBoost Tutorial

This repository includes tutorials and source code of the course of XGboost.

Description

This course is designed to provide an in-depth understanding of the XGBoost algorithm and its implementation in Python. It covers topics such as boosting algorithms, tree-based models, feature selection, hyperparameter tuning, and model interpretation.

Requirements

  • Python
  • NumPy
  • Pandas

Course content

Chapter1. Introduction to XGBoost

Part GitHub Doc Project Files 📁
Introduction Link -
What is Gradient boosting Link -
What is XGBoost Link -
Alternatives to XGBoost Link -
Installation Link -

License

Anyone may contribute to our project. Submit a pull request or raise an issue.

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