Keywords

#xgboost

XGBoost

Gradient boosting machine learning library

XGBoost is an open-source software library which provides a regularizing gradient boosting framework for C++, Java, Python, R, Julia, Perl, and Scala. It works on Linux, Microsoft Windows, and macOS. From the project description, it aims to provide a "Scalable, Portable and Distributed Gradient Boosting Library". It runs on a single machine, as well as the distributed processing frameworks Apache Hadoop, Apache Spark, Apache Flink, and Dask.

Mon 12th

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XGBoost LightGBM Dask (software) CatBoost Kubeflow Hyperparameter optimization Gradient boosting Boosting (machine learning) Kaggle Machine learning
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