This project is a complete system for predicting house prices in real time, using neural networks and modern Machine Learning Engineering & MLOps approaches.
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- Create a complete pipeline of MLOps for a house price prediction model.
- Implement a linear regression model using the Keras Functional API.
- Monitor training metrics with TensorBoard.
- Monitor logs and system performance in real time with Grafana or Kibana.
- Serve the model via Flask and create a visualization interface with Streamlit.
- Apply SOLID principles in development to improve maintainability and scalability.
- Automate train.
- Automate the CI/CD pipeline using GitHub Actions and deploy to a local server with Gunicorn.
Este projeto é licenciado sob a MIT License.
Author: Juan Vieira Contact: [email protected] / [email protected]