Deploy a simple supervised machine learning algorithm in Azure as a function.

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This post outlines the development of a supervised machine learning model using the DecisionTreeClassifier algorithm. We will cover training the model on a specific dataset, fine-tuning its parameters, and evaluating accuracy. After achieving proficiency, we’ll deploy the model as an Azure Function for serverless execution and expose it as a REST API for real-time predictions. This approach offers insights into machine learning and cloud-based solutions.