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XGBoost download for Windows

Free download XGBoost Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named XGBoost whose latest release can be downloaded as 1.7.3PatchRelease.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named XGBoost with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.





XGBoost is an optimized distributed gradient boosting library, designed to be scalable, flexible, portable and highly efficient. It supports regression, classification, ranking and user defined objectives, and runs on all major operating systems and cloud platforms.

XGBoost works by implementing machine learning algorithms under the Gradient Boosting framework. It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems. XGBoost can be used for Python, Java, Scala, R, C++ and more. It can run on a single machine, Hadoop, Spark, Dask, Flink and most other distributed environments, and is capable of solving problems beyond billions of examples.


  • Flexible - with support for regression, classification, ranking and user defined objectives
  • Portable - cross-platform including cloud platforms
  • Supports multiple programming languages
  • Overcomes many data science and machine learning challenges
  • Supports distributed training on multiple machines
  • Integrates with Flink, Spark and other cloud dataflow systems
  • Well-optimized backend system

Programming Language




This is an application that can also be fetched from https://sourceforge.net/projects/xgboost.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.

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