Deploying the Trained XGBoost Model as a Real-Time Endpoint
After successfully training our XGBoost model, the next step is to deploy it to an Amazon SageMaker endpoint for real-time inference. This deployment allows the model to serve predictions via API requests, making it suitable for applications that req...
mymlopsjourney.hashnode.dev3 min read