This repository highlights the project that predicts housing prices using Machine Learning. It highlights the transition from procedural code to production code to scale the model.
The following information is crucial in understanding how the repository is structured:
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Research Environment Pipeline (START HERE)
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Analysis
- This section highlights the step by step process to analyze data, engineer features using various methods (custom classes, open source, and ensemble), and creating a complete ML pipeline in procedural code
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Models
- This section highlights the models created in the Analysis section
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Update