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iot-traffic-mlops

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A full MLOps workflow for predicting traffic volume using an XGBoost regression model. Built with ZenML, the pipeline includes steps for data ingestion, preprocessing, training, evaluation, and deployment using MLflow.

continuous-deploymentiotmachine-learningmlflowmlopsxgboostzenml
Creat：2025-04-14T01:18:57
Update：2025-05-20T19:32:25
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