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This project demonstrates a complete MLOps workflow for predicting house prices. It uses TensorFlow Extended (TFX) with Apache Beam for building and orchestrating the ML pipeline, Docker for containerization, Google Cloud Run for deployment, and Streamlit for an interactive prediction and monitoring interface.
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Screenshot of the project
Link of the project
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https://housepricingmlops-tarqhilmarsiregar.streamlit.app/
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Demo of the project