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Fraud Detection # EDA # Feature Store # Model Registry\n\n\n## Objective\n- To read historical payment transactions data stored in a data warehouse\n- Read from a live stream of new transactions, perform exploratory data analysis (EDA)\n- Feature engineering \u0026 ingest features into a Feature Store\n- Train a model using Feature Store\n- Register model in a model registry \u0026 evaluate model\n- Deploy model to an endpoint\n- Real-time inference on model with Feature Store\n- Monitor deployed model\n\n\n## Fraud Finder \n\n![fraudfinder001.png](./media/fraudfinder001.png)\n\n![fraudfinder002.png](./media/fraudfinder002.png)\n\n![fraudfinder003.png](./media/fraudfinder003.png)\n\n![fraudfinder004.png](./media/fraudfinder004.png)\n\n![fraudfinder005.png](./media/fraudfinder005.png)\n\n![fraudfinder006.png](./media/fraudfinder006.png)\n\n![fraudfinder007.png](./media/fraudfinder007.png)\n\n![fraudfinder008.png](./media/fraudfinder008.png)\n\n![fraudfinder009.png](./media/fraudfinder009.png)\n\n![fraudfinder010.png](./media/fraudfinder010.png)\n\n![fraudfinder011.png](./media/fraudfinder011.png)\n\n![fraudfinder012.png](./media/fraudfinder012.png)\n\n![fraudfinder013.png](./media/fraudfinder013.png)\n\n![fraudfinder014.png](./media/fraudfinder014.png)\n\n![fraudfinder015.png](./media/fraudfinder015.png)\n\n![fraudfinder016.png](./media/fraudfinder016.png)\n\n![fraudfinder017.png](./media/fraudfinder017.png)\n\n![fraudfinder018.png](./media/fraudfinder018.png)\n\n![fraudfinder019.png](./media/fraudfinder019.png)\n\n![fraudfinder020.png](./media/fraudfinder020.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmiozilla%2Ffraudfinder","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmiozilla%2Ffraudfinder","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmiozilla%2Ffraudfinder/lists"}