awesome-xgboost
github.com/the-black-knight-01/awesome-xgboost ↗This page contains a curated list of examples, tutorials, blogs about XGBoost usecases.
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Code ExamplesMachine Learning Challenge Winning SolutionsTalksTutorialsUsecasesTools using XGBoostAwards
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Installation instructions →What's inside
Machine Learning Challenge Winning Solutions
Tutorials
Tools using XGBoost
- BayesBoost
Bayesian Optimization using xgboost and sklearn API
- gp_xgboost_gridsearch
In-database parallel grid-search for XGBoost on
- tpot
A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.
Code Examples
- Benchmarking the most commonly used open source tools for binary classificationBenchmarks
- Binary classificationBasic Examples by Tasks
- Kaggle Tradeshift winning solution by daxiongshuBenchmarks
- Learning to RankBasic Examples by Tasks
- Multiclass classificationBasic Examples by Tasks
- pythonFeatures Walkthrough
Usecases
Awards
- John Chambers Award
2016 Winner: XGBoost R Package, by Tong He (Simon Fraser University) and Tianqi Chen (University of Washington)
Showing a sample of 55 resources. View the full list on GitHub →