A real-time, end-to-end machine learning application built with Flask and integrated with MLflow for tracking and model management. The application predicts house prices based on user input, leveraging trained regression models and providing a web interface for seamless interaction.
cross-validation feature-selection accuracy pickle feature-engineering hyperparameter-tuning model-evaluation data-ingestion rmse continous-integration model-deployment continous-deployment gridsearchcv joblib mlflow data-cleaning-and-preprocessing model-training-and-evaluation model-performance-metrics scaling-and-normalization model-seria
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Updated
Nov 30, 2024 - Python