Python Machine Learning on Azure Part 1: Creating an XGBoost Model with Python, VS Code, and Azure ML

Jarek Szczegielniak

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12 Jan 2022CPOL11 min read

How to use Visual Studio Code with Machine Learning extensions to train an XGBoost model on Azure

This article shows the code to create and train a model using XGBoost and then run model training on Azure ML. This will be followed by a brief demonstration to show that the trained model works as expected.

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This article is part of the series 'Python ML on Azure View All

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Jarek Szczegielniak

Architect

Poland

Jarek has two decades of professional experience in software architecture and development, machine learning, business and system analysis, logistics, and business process optimization.
He is passionate about creating software solutions with complex logic, especially with the application of AI.

Python Machine Learning on Azure Part 1: Creating an XGBoost Model with Python, VS Code, and Azure ML

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