OverviewΒΆ
This documentation provides an overview of the Azure Machine Learning examples repository. The repository contains a collection of examples and best practices for building machine learning models using Azure Machine Learning.
The examples are organized into several categories, each focusing on a different aspect of Azure Machine Learning. Here is a brief description of what you can find in each category:
Getting Started with Azure Machine Learning Python SDK: This section provides examples and guides on how to get started with Azure Machine Learning using the Python SDK.
Using MLflow with Azure Machine Learning: This section provides examples on how to use MLflow with Azure Machine Learning.
Working with Azure AI ML: This section provides examples on how to work with Azure AI and Machine Learning.
Working with Numpy: This section provides examples on how to work with NumPy in the context of Azure Machine Learning.
Working with XGBoost: This section provides examples on how to work with XGBoost in the context of Azure Machine Learning.
Contributing to Azure Automated Machine Learning Samples: This section provides guidelines on how to contribute to the Azure Automated Machine Learning samples.
Working with Azure Machine Learning Endpoints: This section provides examples on how to work with Azure Machine Learning Endpoints.
Using Azure Machine Learning with Huggingface Transformers: This section provides examples on how to use Azure Machine Learning with Hugging Face Transformers.
API Reference: This section provides an API reference for Azure Machine Learning.
Each section contains a variety of examples, from basic to advanced, to help you understand how to use Azure Machine Learning effectively. Whether you are a beginner just getting started with machine learning, or an experienced data scientist looking for ways to improve your workflows, you will find valuable information in these examples.